#METABOLOMICS WORKBENCH Kaori_20250611_192128 DATATRACK_ID:6029 STUDY_ID:ST003985 ANALYSIS_ID:AN006564 PROJECT_ID:PR002491 VERSION 1 CREATED_ON June 16, 2025, 11:23 pm #PROJECT PR:PROJECT_TITLE Glucose-activated JMJD1A drives visceral adipogenesis via PR:PROJECT_TITLE α-ketoglutarate-dependent chromatin remodeling PR:PROJECT_SUMMARY Understanding how extracellular glucose regulates adipose tissue remodeling is PR:PROJECT_SUMMARY key to decoding metabolic health. Here, we show that the histone demethylase PR:PROJECT_SUMMARY JMJD1A senses glucose availability via α-ketoglutarate (α-KG), a TCA cycle PR:PROJECT_SUMMARY metabolite derived from glycolysis. Upon glucose stimulation, α-KG accumulates PR:PROJECT_SUMMARY in the nucleus and activates JMJD1A to remove repressive H3K9me2 marks at PR:PROJECT_SUMMARY glycolytic and adipogenic gene loci, including Pparg. This initiates a PR:PROJECT_SUMMARY transcriptional feedforward loop that amplifies glycolysis and de novo PR:PROJECT_SUMMARY adipogenesis. Mechanistically, JMJD1A is pre-recruited to chromatin by NFIC, and PR:PROJECT_SUMMARY glucose-induced demethylation enables subsequent ChREBP binding. In vivo, mice PR:PROJECT_SUMMARY lacking JMJD1A in adipocyte precursors exhibit impaired adipose tissue PR:PROJECT_SUMMARY hyperplasia and compensatory hypertrophic expansion selectively in visceral fat, PR:PROJECT_SUMMARY resulting in metabolically unfavorable remodeling. These findings uncover a PR:PROJECT_SUMMARY glucose-sensing α-KG-JMJD1A pathway that regulates histone demethylation and de PR:PROJECT_SUMMARY novo adipogenesis, enabling adaptive expansion of visceral adipose tissue under PR:PROJECT_SUMMARY nutrient excess conditions. PR:INSTITUTE Tohoku University PR:LAST_NAME Sakai PR:FIRST_NAME Juro PR:ADDRESS 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan PR:EMAIL juro.sakai.b6@tohoku.ac.jp PR:PHONE +81-22-717-8117 #STUDY ST:STUDY_TITLE Glucose-activated JMJD1A drives visceral adipogenesis via ST:STUDY_TITLE α-ketoglutarate-dependent chromatin remodeling (Study part 6 of 5) ST:STUDY_SUMMARY Understanding how extracellular glucose regulates adipose tissue remodeling is ST:STUDY_SUMMARY key to decoding metabolic health. Here, we show that the histone demethylase ST:STUDY_SUMMARY JMJD1A senses glucose availability via α-ketoglutarate (α-KG), a TCA cycle ST:STUDY_SUMMARY metabolite derived from glycolysis. Upon glucose stimulation, α-KG accumulates ST:STUDY_SUMMARY in the nucleus and activates JMJD1A to remove repressive H3K9me2 marks at ST:STUDY_SUMMARY glycolytic and adipogenic gene loci, including Pparg. This initiates a ST:STUDY_SUMMARY transcriptional feedforward loop that amplifies glycolysis and de novo ST:STUDY_SUMMARY adipogenesis. Mechanistically, JMJD1A is pre-recruited to chromatin by NFIC, and ST:STUDY_SUMMARY glucose-induced demethylation enables subsequent ChREBP binding. In vivo, mice ST:STUDY_SUMMARY lacking JMJD1A in adipocyte precursors exhibit impaired adipose tissue ST:STUDY_SUMMARY hyperplasia and compensatory hypertrophic expansion selectively in visceral fat, ST:STUDY_SUMMARY resulting in metabolically unfavorable remodeling. These findings uncover a ST:STUDY_SUMMARY glucose-sensing α-KG-JMJD1A pathway that regulates histone demethylation and de ST:STUDY_SUMMARY novo adipogenesis, enabling adaptive expansion of visceral adipose tissue under ST:STUDY_SUMMARY nutrient excess conditions. ST:INSTITUTE Tohoku University ST:LAST_NAME Sakai ST:FIRST_NAME Juro ST:ADDRESS 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan ST:EMAIL juro.sakai.b6@tohoku.ac.jp ST:PHONE +81-22-717-8117 ST:STUDY_COMMENTS Figure S1H #SUBJECT SU:SUBJECT_TYPE Cultured cells SU:SUBJECT_SPECIES Mus musculus SU:TAXONOMY_ID 10090 #SUBJECT_SAMPLE_FACTORS: SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Raw file names and additional sample data SUBJECT_SAMPLE_FACTORS 6 3T3-L1_0h Sample source:3T3-L1 | Treatment:13C6-Glucose RAW_FILE_NAME(Anion)=6_d2.mzML; RAW_FILE_NAME(Cation)=6_d5.mzML; RAW_FILE_NAME(Glucose)=g6_d2-3.mzML SUBJECT_SAMPLE_FACTORS 7 3T3-L1_1h Sample source:3T3-L1 | Treatment:13C6-Glucose RAW_FILE_NAME(Anion)=7_d2.mzML; RAW_FILE_NAME(Cation)=7_d5.mzML; RAW_FILE_NAME(Glucose)=g7_d2-2.mzML SUBJECT_SAMPLE_FACTORS 8 3T3-L1_2h Sample source:3T3-L1 | Treatment:13C6-Glucose RAW_FILE_NAME(Anion)=8_d2.mzML; RAW_FILE_NAME(Cation)=8_d5.mzML; RAW_FILE_NAME(Glucose)=g8_d2.mzML SUBJECT_SAMPLE_FACTORS 9 3T3-L1_4h Sample source:3T3-L1 | Treatment:13C6-Glucose RAW_FILE_NAME(Anion)=9_d2.mzML; RAW_FILE_NAME(Cation)=9_d5.mzML; RAW_FILE_NAME(Glucose)=g9_d2.mzML #COLLECTION CO:COLLECTION_SUMMARY 3T3-L1 cells were washed twice with 5% mannitol before metabolite extraction. CO:COLLECTION_SUMMARY Aqueous metabolites were extracted with 400 µL of methanol containing three CO:COLLECTION_SUMMARY internal standards (3ISs; methionine sulfone, 2-(N-morpholino)ethanesulfonic CO:COLLECTION_SUMMARY acid [MES] and D-camphol-10-sulfonic acid [CSA]; 25 µM each) at room CO:COLLECTION_SUMMARY temperature for 10 min. Then 400 µL chloroform and 200 µL of water were added, CO:COLLECTION_SUMMARY and the solution was centrifuged at 10,000 × g for 3 min at 4ºC. The upper CO:COLLECTION_SUMMARY aqueous layer (400 µL) was filtered through a 5 kDa cutoff filter (Millipore), CO:COLLECTION_SUMMARY and the filtrate was stored at -80ºC until analysis. At the time of analysis, CO:COLLECTION_SUMMARY the filtrate was thawed and centrifugally concentrated and dissolved in 25 µL CO:COLLECTION_SUMMARY of water containing reference compounds (3-aminopyrrolidine and CO:COLLECTION_SUMMARY 1,3,5-benzenetricarboxylic acid; 200 µM each). CO:SAMPLE_TYPE Cultured cells #TREATMENT TR:TREATMENT_SUMMARY 3T3-L1 preadipocytes were differentiated with MDI mixture until day 4 and TR:TREATMENT_SUMMARY treated with 25 mM 13C glucose. #SAMPLEPREP SP:SAMPLEPREP_SUMMARY For metabolite extraction, the 3T3-L1 cells were washed twice with ice-cold 5% SP:SAMPLEPREP_SUMMARY mannitol solution and covered with 1 mL of methanol containing 25 µM internal SP:SAMPLEPREP_SUMMARY standards for 10 min. 400 µL of the resulting extracts were mixed with 200 µL SP:SAMPLEPREP_SUMMARY of Milli-Q water and 400 µL of chloroform. 400 µL of the aqueous solution was SP:SAMPLEPREP_SUMMARY centrifugally filtered through a 5-kDa cut-off filter (Human Metabolome SP:SAMPLEPREP_SUMMARY Technologies, Tsuruoka, Japan) to remove proteins. The filtrate was SP:SAMPLEPREP_SUMMARY centrifugally concentrated and dissolved in 50 µL of Milli-Q water that SP:SAMPLEPREP_SUMMARY contained reference compounds (200 µM each of 3-aminopyrrolidine and trimesate) SP:SAMPLEPREP_SUMMARY immediately prior to metabolome analysis. #CHROMATOGRAPHY CH:CHROMATOGRAPHY_TYPE CE CH:INSTRUMENT_NAME Agilent 7100 CE CH:COLUMN_NAME Fused silica capillary i. d. 50 µm x 100 cm CH:SOLVENT_A 100% Water; 1 M formic acid CH:SOLVENT_B N/A CH:FLOW_GRADIENT N/A CH:FLOW_RATE N/A CH:COLUMN_TEMPERATURE N/A #ANALYSIS AN:ANALYSIS_TYPE MS #MS MS:INSTRUMENT_NAME Agilent 6230 TOF MS:INSTRUMENT_TYPE TOF MS:MS_TYPE ESI MS:ION_MODE POSITIVE MS:MS_COMMENTS ESI-TOFMS was performed in the positive ion mode. The capillary voltage was set MS:MS_COMMENTS at 4 kV, and a flow rate of nitrogen gas (heater temperature 300°C) was set at MS:MS_COMMENTS 10 L/min. The spectrometer was scanned from m/z 50 to 1,000. Peaks were MS:MS_COMMENTS extracted using the automatic integration software MasterHands (Keio University, MS:MS_COMMENTS Tsuruoka, Japan)(Sugimoto et al., Metabolomics, 2009). Based on the in-house MS:MS_COMMENTS library, metabolites were identified from migration time and m/z. Quantification MS:MS_COMMENTS was performed using the Standard mixture measured in the same run. #MS_METABOLITE_DATA MS_METABOLITE_DATA:UNITS fmol / cell MS_METABOLITE_DATA_START Samples 3T3-L1_0h 3T3-L1_1h 3T3-L1_2h 3T3-L1_4h Factors Sample source:3T3-L1 | Treatment:13C6-Glucose Sample source:3T3-L1 | Treatment:13C6-Glucose Sample source:3T3-L1 | Treatment:13C6-Glucose Sample source:3T3-L1 | Treatment:13C6-Glucose Urea 7.2 N.D. N.D. N.D. Gly 41 40 40 42 Putrescine(1,4-Butanediamine) 0.067 0.036 0.019 0.019 beta-Ala 9.2 8.8 8.0 9.1 Ala 20 5.7 6.5 7.8 GABA 1.0 0.81 0.74 0.64 2AB 0.18 0.17 0.18 0.16 Choline 0.067 0.12 0.29 0.40 Ser 1.1 8.0 7.1 6.1 Diethanolamine 0.34 0.71 0.32 0.78 Hypotaurine 8.6 8.9 8.3 9.3 Carnosine 0.031 0.024 0.032 0.032 Creatinine 0.18 0.11 0.093 0.10 Pro 1.3 4.7 5.1 4.7 5-Aminovalerate 0.26 0.17 0.21 0.15 Val 4.2 4.2 3.9 3.6 Betaine 0.30 0.30 0.30 0.33 Thr 21 20 19 20 Nicotinamide N.D. N.D. N.D. 0.042 Taurine 3.9 3.8 4.4 4.6 Hydroxyproline 0.71 0.48 0.46 0.51 5-Aminolevulinate 0.024 0.016 N.D. N.D. Creatine 10 9.1 9.1 9.2 Ile 2.4 3.3 2.9 2.4 Leu 2.5 4.0 3.8 3.1 Gly-Gly 0.038 0.075 0.088 0.063 Asn 4.0 2.9 3.0 3.5 Ornithine 0.047 0.027 0.021 0.030 Asp 2.3 17 20 23 Adenine N.D. N.D. N.D. 0.038 1-Methylnicotinamide 2.0 1.8 1.9 1.9 gamma-Butyrobetaine 0.071 0.080 0.094 0.12 Spermidine 0.031 0.029 0.016 0.025 Gln 67 79 75 73 Lys 1.7 1.7 1.5 1.5 Glu 10 18 15 14 Met 1.8 N.D. N.D. N.D. His 2.0 1.4 1.5 1.7 alpha-Aminoadipate 0.075 0.11 0.15 0.14 Carnitine 0.39 0.31 0.32 0.33 Phe 5.2 3.3 3.4 4.0 Pyridoxal N.D. 0.097 0.087 0.081 Pyridoxine 0.11 N.D. N.D. N.D. 3-Methylhistidine 0.11 0.055 0.070 0.076 Arg 0.64 0.89 0.76 0.76 Citrulline 0.098 0.046 0.047 0.057 Tyr 5.5 3.5 3.7 4.3 Phosphorylcholine 2.3 3.9 4.6 6.1 N1-Acetylspermidine 0.037 0.0065 N.D. 0.0040 N6,N6,N6-Trimethyllysine 0.017 0.024 0.026 0.024 SAMm+ 0.49 0.45 0.40 0.49 o-Acetylcarnitine 0.080 0.040 0.047 0.040 Trp 1.0 0.78 0.78 0.93 Cysteine-glutathione disulphide 0.12 N.D. N.D. N.D. Thymidine 3.7 3.8 3.0 3.2 Pyridoxamine 5'-phosphate 0.032 N.D. N.D. N.D. Glycerophosphorylcholine 0.62 0.67 0.92 1.1 Thiamine N.D. N.D. N.D. 0.0077 1-Methyladenosine N.D. N.D. N.D. 0.0096 Guanosine N.D. 0.067 0.030 0.011 Ophthalmate 0.029 0.052 0.036 0.026 Argininosuccinate 0.16 0.25 0.20 0.19 5-Methylthioadenosine 0.021 0.026 0.031 0.029 Glutathione(ox) 0.39 0.36 0.34 0.45 Glutathione(red) 10 11 10 11 S-Lactoylglutathione N.D. N.D. N.D. N.D. MS_METABOLITE_DATA_END #METABOLITES METABOLITES_START metabolite_name KEGG ID PubChem Urea C00086 1176 Gly C00037 5257127 Putrescine(1,4-Butanediamine) C00134 1045 beta-Ala C00099 239 Ala C00041 5950 GABA C00334 119 2AB C02356 6971252 Choline C00114 305 Ser C00065 5951 Diethanolamine C06772 8113 Hypotaurine C00519 107812 Carnosine C00386 439224 Creatinine C00791 588 Pro C00148 145742 5-Aminovalerate C00431 138 Val C00183 6287 Betaine C00719 247 Thr C00188 6288 Nicotinamide C00153 936 Taurine C00245 1123 Hydroxyproline C01157 5810 5-Aminolevulinate C00430 137 Creatine C00300 586 Ile C00407 6306 Leu C00123 6106 Gly-Gly C02037 11163 Asn C00152 6267 Ornithine C00077 6262 Asp C00049 44367445 Adenine C00147 190 1-Methylnicotinamide C02918 457 gamma-Butyrobetaine C01181 134 Spermidine C00315 1102 Gln C00064 5961 Lys C00047 5962 Glu C00025 33032 Met C00073 6137 His C00135 6274 alpha-Aminoadipate C00956 59066632 Carnitine C00318 10917 Phe C00079 6140 Pyridoxal C00250 1050 Pyridoxine C00314 1054 3-Methylhistidine C01152 64969 Arg C00062 28782 Citrulline C00327 6992098 Tyr C00082 6057 Phosphorylcholine C00588 1014 N1-Acetylspermidine C00612 496 N6,N6,N6-Trimethyllysine C03793 440120 SAMm+ C00019 24762165 o-Acetylcarnitine C02571 439756 Trp C00078 6305 Cysteine-glutathione disulphide - 10455148 Thymidine C00214 5789 Pyridoxamine 5'-phosphate C00647 1053 Glycerophosphorylcholine C00670 657272 Thiamine C00378 1130 1-Methyladenosine C02494 27476 Guanosine C00387 6802 Ophthalmate C21016 7018721 Argininosuccinate C03406 16950 5-Methylthioadenosine C00170 439176 Glutathione(ox) C00127 11215652 Glutathione(red) C00051 124886 S-Lactoylglutathione C03451 440018 METABOLITES_END #END