Inguinal lymph node will be localized by ultrasonography and following fine needle aspirate, an incision will be made. Up to five core biopsies will be obtained, to derive immune cells.

Blood sample (30 mL) will be collected, to derive immune cells.

All subjects will be asked to complete a questionnaire about their expectations/experiences of undergoing the biopsy procedures.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. NA indicates that data was not available.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. NA indicates that data was not available.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Peripheral blood samples were planned to be collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Results could not be presented as data were not collected for this analysis due to lack of model convergence or model reliability

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. NA indicates that data was not available.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. NA indicates that data was not availble. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates data was not available.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

An AE is any untoward medical occurrence in a clinical study participant, temporally associated with the use of a study treatment, whether or not considered related to the study treatment. SAE is defined as any untoward medical occurrence that, at any dose results in death, is life threatening, requires hospitalization or prolongation of existing hospitalization, results in disability/ incapacity, is a congenital anomaly/ birth defect or other situations.

Participants were asked to complete Pre-Biopsy Lymph Node Questionnaire about their expectations/experiences of undergoing the procedure of FNA biopsy followed by core needle biopsy. The number of participants who underwent procedure under local anesthetics have been presented.

Participants were asked to complete Pre-Biopsy Lymph Node Questionnaire about their expectations/experiences of undergoing the procedure of FNA biopsy followed by core needle biopsy. The number of participants who underwent iLN biopsy under local anesthetics have been presented.

Participants were asked to complete Pre-Biopsy Lymph Node Questionnaire about their expectations/experiences of undergoing the procedure of FNA biopsy followed by core needle biopsy. The different reasons have been listed as follows; have friend with diabetes mellitus (DM)/ to progress knowledge, to improve medicines development, participating in the study because of the honorarium, any other reason not listed above was categorized as "other" and participants having all three reasons as listed above to participate in the study were included in "All reasons" category

Participants were asked to complete Pre-Biopsy Lymph Node Questionnaire about their expectations/experiences of undergoing the procedure of FNA biopsy followed by core needle biopsy. The number of participants with extreme anxiety towards the procedure have been presented.

Participants were asked to complete Pre-Biopsy Lymph Node Questionnaire about their expectations/experiences of undergoing the procedure of FNA biopsy followed by core needle biopsy. The number of participants looking forward to undergo the procedure have been presented.

Participants were asked to complete Post-Biopsy Lymph Node Questionnaire about their expectations/experiences of undergoing the procedure of FNA biopsy followed by core needle biopsy. The aspects better explained were as follows; itself, anesthetic procedure, after-care, none and any other procedure not listed above was categorized as "other".

Participants were asked to complete Post-Biopsy Lymph Node Questionnaire about their expectations/experiences of undergoing the procedure of FNA biopsy followed by core needle biopsy. The number of participants who considered to undergo procedure another time have been presented.

Participants were asked to complete Post-Biopsy Lymph Node Questionnaire about their expectations/experiences of undergoing the procedure of FNA biopsy followed by core needle biopsy. Participants who were encouraged in study for iLN biopsy have been presented.

Participants were asked to complete Post-Biopsy Lymph Node Questionnaire about their expectations/experiences of undergoing the procedure of FNA biopsy followed by core needle biopsy. Participants who appreciated receiving study feedback have been presented.

Total of all reporting groups

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. NA indicates that data was not available.

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. NA indicates that data was not available.

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. NA indicates that data was not available.

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from Monocyte Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population

Peripheral blood samples were planned to be collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Results could not be presented as data were not collected for this analysis due to lack of model convergence or model reliability

Safety Population. Data were not collected due to lack of model convergence or model reliability.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. NA indicates that data was not available.

Safety Population. Only those participants with data available at specified time point were analyzed.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population. Only those participants with data available at specified time point were analyzed.

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population. Only those participants with data available at specified time point were analyzed.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. NA indicates that data was not availble. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles). NA indicates that data was not available.

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population. Only those participants with data available at specified time point were analyzed.

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Safety Population

Peripheral blood samples were collected from both healthy and NOT1D participants at the indicated time points for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA.

Safety Population

Samples were collected including up to two FNA passages of iLN and up to five core biopsies of iLN at the indicated time point from both healthy and NOT1D participants for the analysis of leukocyte subsets from T Reg cell Panel. Candidate biomarkers associated with either location of cells and/or disease-status were identified using flow cytometry technique. Generalized linear mixed models were used to analyze data separately for each flow cytometry cell type to provide estimates for comparisons. Fixed categorical were group, sample type, and the interaction of group with sample type, where Group was HV or NOT1D, and sample type was peripheral blood, core biopsy or FNA. Only those participants with data available at specific time point were analyzed (represented by n=x in category titles).

Safety Population