← All .science files
pmid:36300106
TSH-SPP1/TRβ-TSH positive feedback loop mediates fat deposition of hepatocyte: Crosstalk between thyroid and liver.
Bin Huang · Wenjie Wen · Shandong Ye
Frontiers in immunology · 2022 doi:10.3389/fimmu.2022.1009912
Paper
complete
Experiment
complete
Data
partial
Analysis
partial
Execution
absent
Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
paper object · 10 fields
authors array · 3 items
claims array · 3 items
[0] object · 6 fields
[1] object · 6 fields
[2] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
gaps array · 0 items
experiment object · 8 fields
steps array · 3 items
[0] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
assets array · 2 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 73 items
gaps array · 2 items
analysis object · 4 fields
methods array · 2 items
[0] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[1] object · 10 fields
dsl_operations array · 3 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
targets array · 0 items
gaps array · 1 item
capability object · 3 fields
requirements array · 1 item
[0] object · 6 fields
assay_families array · 9 items
gaps array · 0 items
readiness object · 8 fields
axes object · 3 fields
method object · 5 fields
required_operations array · 1 item
missing_operations array · 0 items
capability object · 4 fields
data object · 6 fields
accessions array · 1 item
resolved_accessions array · 1 item
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 1 item
assets array · 2 items
steps array · 1 item
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
gaps array · 0 items
review object · 5 fields
machine_critique object · 5 fields
reader object · 5 fields
evidence_check object · 2 fields
usage object · 3 fields
stages array · 1 item
[0] object · 4 fields
gaps array · 3 items
provenance object · 7 fields
entities array · 3 items
activities array · 3 items
[0] object · 4 fields
used array · 3 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 fields
[1] object · 4 fields
agents array · 2 items
lineage object · 4 fields
gaps array · 7 items
assays array · 4 items
[0] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 4 items
[1] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 4 items
[2] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 1 item
[3] object · 11 fields
required_operations array · 1 item
source_hashes object · 1 field
evidence array · 1 item
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36300106", "kind": "science-record", "revision": 4, "content_hash": "sha256:adf1cd24336e0ebbd3619c8e9178e1ab6059a566740b2cfd7f55789eb8ad1f7b", "created_at": "2026-11-01T18:15:43Z", "updated_at": "2026-11-01T22:07:58Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "TSH-SPP1/TRβ-TSH positive feedback loop mediates fat deposition of hepatocyte: Crosstalk between thyroid and liver.", "doi": "10.3389/fimmu.2022.1009912", "pmid": "36300106", "authors": ["Bin Huang", "Wenjie Wen", "Shandong Ye"], "journal": "Frontiers in immunology", "year": 2022, "abstract": "Aims: We conducted this study with two aims: (1) whether TRβ could be damaged by NAFLD, thereby represent thyroid hormone resistance-like manifestation and (2) to analyze the potential role of SPP1 in TH signaling pathway on the process of NAFLD. This study is expected to provide a new perspective on the therapeutic mechanism in the pathological course of NAFLD.\nMethods: A total of 166 patients diagnosed with type 2 diabetes mellitus (T2DM) were enrolled in this study. All patients had a BMI above 24 kg/m2 and were stratified into two groups: NAFLD and Non-NAFLD groups. Ages, gender, BMI, duration of diabetes and biochemical markers were obtained from participants' records. We downloaded the dataset GSE48452 from GEO. The Pathview library was used to make the thyroid hormone signaling pathway visualization. The CIBERSORT algorithm was applied to calculate the infiltrated immune cells in obese NAFLD patients. C57BL/6 mice were randomly selected to constitute the normal control (NC) group and were fed a normal chow diet; the rest of the mice were fed a high-fat diet (HFD). After 12 weeks HFD feeding, the mice were sacrificed by cervical dislocation, and blood samples were collected. Mouse livers were also collected; one part of each liver was fixed in 10% formalin for histological analysis, and the other part was snap-frozen for subsequent molecular analyses. To explore the relationship between SPP1, TRβ and lipid deposition in hepatocytes, HepG2 cells were treated with 50 μ M concentration of PA and/or 20 ng/ml concentration of rh-SPP1 for 48h. In addition, the PC3.1-TRβ plasmid was constructed for further validation in HepG2 cells. We used THP-1 cells to construct an M1 macrophage model in vitro. We then analyzed THP-1 cells treated with various concentrations of PA or TSH.\nResults: (1) After adjusting for all factors that appeared P value less than 0.1 in the univariate analysis, BMI, TSH, and FT3 were significant independent risk factors of NAFLD (ORs were 1.218, 1.694, and 2.259, respectively); (2) A further analysis with BMI stratification indiacted that both FT3 and TSH had a significant change between individuals with NAFLD and Non-NAFLD in obesity subgroup; however, there was no statistic difference in over-weight group; (3) Bioinformatics analysis of GSE48452 had shown that several key molecular (including TRβ) of thyroid hormone pathway affected by NAFLD induced transcriptomic changes and the expression levels of SPP1, FABP4 and RPS4Y1 were significantly higher, while the expression levels of PZP and VIL1 were significantly decreased in NAFLD patients(adjusted p < 0.05, |logFC| > 1.0). The CIBERSORT algorithm showed increased M0 and M1, decreased M2 macrophage infiltration in NAFLD with comparison to healthy obese group; (4) After 12 weeks of HFD-feeding, the obesity mice had significantly higher serum TSH and In IHC-stained liver sections of obesity group, the intensity of SPP1 had a significantly increased, while TRβ reduced; (5) In vitro studies have shown SPP1 aggravated lipid deposition in hepatic cells dependent on down-regulating the expression of TRβ and TSH acts to promote secretion of SPP1 in M1 macrophage cells.\nConclusions: SPP1 secretion induced by M1 macrophage polarization, which may down-regulates TRβ in hepatocytes via paracrine manner, on the one hand, the lipid deposition aggravating in liver, on the other hand, a compensatory increase of TSH in serum. The increased TSH can further lead to the following SPP1 secretion of M1 macrophage. The positive feedback crosstalk between thyroid and liver, may be plays an important role in maintaining and amplifying pathological process of NAFLD.", "claims": [{"id": "claim-method", "statement": "Logistic regression analysis was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of NAFLD, while adjusting for potential confounding variables.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36300106", "locator": "sections[12] \"Statistical analyses\" paragraph 2", "quote": "Logistic regression analysis was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of NAFLD, while adjusting for potential confounding variables."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36300106", "locator": "sections[24] \"Data availability statement\" paragraph 2", "quote": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation."}], "state": "complete"}, {"id": "claim-target-result", "statement": "After adjusting for all factors with a p-value less than 0.1 in the univariate analysis, BMI, TSH, and FT3 were identified as significant independent risk factors for NAFLD.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36300106", "locator": "sections[15] \"Independent risk factors associated with the incidence of NAFLD\" paragraph 2", "quote": "After adjusting for all factors with a p-value less than 0.1 in the univariate analysis, BMI, TSH, and FT3 were identified as significant independent risk factors for NAFLD."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "After adjusting for all factors with a p-value less than 0.1 in the univariate analysis, BMI, TSH, and FT3 were identified as significant independent risk factors for NAFLD.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:36300106"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE48452"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE48452"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36300106", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fimmu.2022.1009912", "sha256": "sha256:f78be5713b9315f6af1ddae2733d194c61f07bbedb57351b31ba6022cb3fe5dc", "bytes": 40244, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fimmu.2022.1009912", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9589424", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE48452", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48452", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE48452", "version": null, "note": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1178970", "GSM1178971", "GSM1178972", "GSM1178973", "GSM1178974", "GSM1178975", "GSM1178976", "GSM1178977", "GSM1178978", "GSM1178979", "GSM1178980", "GSM1178981", "GSM1178982", "GSM1178983", "GSM1178984", "GSM1178985", "GSM1178986", "GSM1178987", "GSM1178988", "GSM1178989", "GSM1178990", "GSM1178991", "GSM1178992", "GSM1178993", "GSM1178994", "GSM1178995", "GSM1178996", "GSM1178997", "GSM1178998", "GSM1178999", "GSM1179000", "GSM1179001", "GSM1179002", "GSM1179003", "GSM1179004", "GSM1179005", "GSM1179006", "GSM1179007", "GSM1179008", "GSM1179009", "GSM1179010", "GSM1179011", "GSM1179012", "GSM1179013", "GSM1179014", "GSM1179015", "GSM1179016", "GSM1179017", "GSM1179018", "GSM1179019", "GSM1179020", "GSM1179021", "GSM1179022", "GSM1179023", "GSM1179024", "GSM1179025", "GSM1179026", "GSM1179027", "GSM1179028", "GSM1179029", "GSM1179030", "GSM1179031", "GSM1179032", "GSM1179033", "GSM1179034", "GSM1179035", "GSM1179036", "GSM1179037", "GSM1179038", "GSM1179039", "GSM1179040", "GSM1179041", "GSM1179042"], "sample_count": 73, "group_sizes": null, "group_sizes_basis": null, "platform": "11532", "taxon": "Homo sapiens", "title": "Human liver biopsy of different phases from control to NASH", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE48452 not downloaded", "asset:data:geo:GSE48452 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "regression_modelling", "specific": "logistic", "label": "Regression modelling", "dsl_operations": ["glm_logit_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictors_and_outcome"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Logistic regression analysis was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of NAFLD, while adjusting for potential confounding variables."}}, {"id": "method-2", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 0.8, "band": "high", "quote": "limma"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["glm_logit_fit"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: logistic."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE48452"], "resolved_accessions": ["GSE48452"], "statements": ["The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation."], "basis": "The paper names GSE48452 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["glm_logit_fit"], "assets": ["source:pmid:36300106", "data:geo:GSE48452"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE48452"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:13:14Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 10943, "completion_tokens": 1325, "cached_tokens": 264}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:36300106", "type": "paper", "label": "pmid:36300106"}, {"id": "source:pmid:36300106", "type": "manuscript", "label": "PMID 36300106 full text"}, {"id": "data:geo:GSE48452", "type": "dataset", "label": "GEO GSE48452"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36300106", "type": "paper", "label": "pmid:36300106"}, {"id": "source:pmid:36300106", "type": "manuscript", "label": "PMID 36300106 full text"}, {"id": "data:geo:GSE48452", "type": "dataset", "label": "GEO GSE48452"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36300106", "type": "extraction", "used": ["source:pmid:36300106"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE48452", "type": "accession_resolution", "used": ["data:geo:GSE48452"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:36300106", "parent_hash": "sha256:dd9e3070a10b969559f2a62083b1c10fa63a799ae8f75a616d133f3a33a346c7", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE48452 licence not read", "asset:data:geo:GSE48452 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["diet (HFD). After 12 weeks HFD feeding, the mice were sacrificed by cervical dislocation, and blood samples w", "mmune cells in obese NAFLD patients. C57BL/6 mice were randomly selected to constitute the normal c", "were fed a normal chow diet; the rest of the mice were fed a high-fat diet (HFD). After 12 weeks HF", "diet (HFD). After 12 weeks HFD feeding, the mice were sacrificed by cervical dislocation, and bloo"], "order_basis": "paper_text_order:1001", "id": "assay:1"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["P1, TRβ and lipid deposition in hepatocytes, HepG2 cells were treated with 50 μ M concentration", "id was constructed for further validation in HepG2 cells. We used THP-1 cells to construct an M", "lecular analyses. Cell culture and treatment HepG2 cells were maintained in Dulbecco’s modified", "id was constructed for further validation in HepG2 cells. Human leukemia monocyte THP-1 cells w"], "order_basis": "paper_text_order:1534", "id": "assay:2"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.85, "evidence": ["ce had significantly higher serum TSH and In IHC-stained liver sections of obesity group, the"], "order_basis": "paper_text_order:2945", "id": "assay:3"}, {"role": "analysis", "definition_id": "regression_modelling", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["glm_logit_fit"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Logistic regression analysis was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of NAFLD, while adjusting for potential confounding variables."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}