029-nightingale_metabolomics

Nightingale Metabolomics

The dataset, derived from Nightingale Health’s metabolic profiling of blood serum samples, presents an extensive array of metabolites, encapsulating lipids, fatty acids, amino acids, and various low-molecular-weight metabolites. Utilizing innovative Nuclear Magnetic Resonance (NMR) technology, the dataset unveils a spectrum of 250 biomarkers, 39 of which are clinically validated, offering a profound insight into the metabolic mechanisms underlying health and disease.

Data availability:

The information is stored in 2 parquet file: 1. Results - nightingale_metabolomics.parquet - quantification of metabolites in blood sample. 2. Tags per Biomarker - tags_per_biomarker.parquet - categorical tags per metabolite per sample

As of 2024-02-01, the dataset contains 1700 participants who were analyzed.

from pheno_utils import PhenoLoader

pl = PhenoLoader('nightingale_metabolomics')
pl

PhenoLoader for nightingale_metabolomics with
505 fields
3 tables: ['nightingale_metabolomics', 'tags_per_biomarker', 'age_sex']

Data dictionary

pl.dict

	folder_id	feature_set	field_string	description_string	field_type	bulk_dictionary	bulk_file_extension	relative_location	data_coding	stability	...	sexed	array	debut	completed	transformation	list_of_tags	pandas_dtype	nightingale_metabolomics__biomarker_group	nightingale_metabolomics__biomarker_subgroup	nightingale_metabolomics__original_name
tabular_field_name
collection_date	29	nightingale_metabolomics	Collection date (YYYY-MM-DD)	Collection date (YYYY-MM-DD)	Date	NaN	NaN	nightingale_metabolomics/nightingale_metabolom...	NaN	NaN	...	Both sexes	Single	NaN	NaN	NaN	NaN	datetime64[ns]	NaN	NaN	NaN
timezone	29	nightingale_metabolomics	Timezone	Timezone for timestamp columns	Categorical (single)	NaN	NaN	nightingale_metabolomics/nightingale_metabolom...	001_03	NaN	...	Both sexes	Single	NaN	NaN	NaN	NaN	category	NaN	NaN	NaN
collection_timestamp	29	nightingale_metabolomics	Collection timestamp	Collection timestamp	Datetime	NaN	NaN	nightingale_metabolomics/nightingale_metabolom...	NaN	NaN	...	Both sexes	Single	NaN	NaN	NaN	NaN	datetime64[ns]	NaN	NaN	NaN
total_c	29	nightingale_metabolomics	Total-C	Total cholesterol	Continuous	NaN	NaN	nightingale_metabolomics/nightingale_metabolom...	NaN	NaN	...	Both sexes	Single	NaN	NaN	NaN	NaN	float	Cholesterol	NaN	Total_C
non_hdl_c	29	nightingale_metabolomics	non-HDL-C	Total cholesterol minus HDL-C	Continuous	NaN	NaN	nightingale_metabolomics/nightingale_metabolom...	NaN	NaN	...	Both sexes	Single	NaN	NaN	NaN	NaN	float	Cholesterol	NaN	non_HDL_C
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
s_hdl_pl_pct_tag	29	bimarker_qc_tags	S-HDL-PL % Tag	S-HDL-PL % Tag	Categorical (multiple)	NaN	NaN	nightingale_metabolomics/tags_per_biomarker.pa...	P2310	NaN	...	Both sexes	Multiple	NaN	NaN	NaN	NaN	object	NaN	NaN	NaN
s_hdl_c_pct_tag	29	bimarker_qc_tags	S-HDL-C % Tag	S-HDL-C % Tag	Categorical (multiple)	NaN	NaN	nightingale_metabolomics/tags_per_biomarker.pa...	P2310	NaN	...	Both sexes	Multiple	NaN	NaN	NaN	NaN	object	NaN	NaN	NaN
s_hdl_ce_pct_tag	29	bimarker_qc_tags	S-HDL-CE % Tag	S-HDL-CE % Tag	Categorical (multiple)	NaN	NaN	nightingale_metabolomics/tags_per_biomarker.pa...	P2310	NaN	...	Both sexes	Multiple	NaN	NaN	NaN	NaN	object	NaN	NaN	NaN
s_hdl_fc_pct_tag	29	bimarker_qc_tags	S-HDL-FC % Tag	S-HDL-FC % Tag	Categorical (multiple)	NaN	NaN	nightingale_metabolomics/tags_per_biomarker.pa...	P2310	NaN	...	Both sexes	Multiple	NaN	NaN	NaN	NaN	object	NaN	NaN	NaN
s_hdl_tg_pct_tag	29	bimarker_qc_tags	S-HDL-TG % Tag	S-HDL-TG % Tag	Categorical (multiple)	NaN	NaN	nightingale_metabolomics/tags_per_biomarker.pa...	P2310	NaN	...	Both sexes	Multiple	NaN	NaN	NaN	NaN	object	NaN	NaN	NaN

503 rows × 23 columns