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Postpartum (PP) maternal mortality remains alarmingly high, with a rate of 32.9 per 100,000 live births in 2021 in the United States. Cardiovascular diseases, including peripartum/postpartum cardiomyopathy (PPCM) and coronary heart disease, are among the leading causes of PP morbidity and mortality. Although socioeconomic status and the level of PP care can influence the mortality rate, the underlying mechanisms leading to PPCM are not well understood. PPCM is clinically defined as (1) the development of the disease in the last month of pregnancy or within 5 months of delivery, (2) absence of pre-existing heart disease prior to the last month of pregnancy, (3) unknown cause of heart failure, and (4) left ventricular systolic dysfunction. Prognosis remains poor, with full recovery reported in only 23% of affected individuals and 50% experiencing heart failure-related mortality due to limited therapeutic options. Limited studies in both humans and mouse models of PPCM have proposed several potential mechanisms, including inflammation, viral myocarditis, autoimmune reactions, oxidative stress, and apoptosis, resulting from environmental as well as genetic factors. Studying these mechanisms in animal models, particularly those involving genetic causes, has been difficult due to the lack of severity or relevance of existing mouse models of PPCM to the human disease.

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Single-nucleus mRNA-sequencing reveals dynamics of lipogenic and thermogenic adipocyte populations in murine brown adipose tissue in response to cold exposure

Janina Behrens, Tongtong Wang, Christoph Kilian, Anna Worthmann, ... Ludger Scheja

Single-nucleus mRNA-sequencing reveals dynamics of lipogenic and thermogenic adipocyte populations in murine brown adipose tissue in response to cold exposure

 

Objective and methods

Brown adipose tissue (BAT) comprises a heterogeneous population of adipocytes and non-adipocyte cell types. To characterize these cellular subpopulations and their adaptation to cold, we performed single-nucleus mRNA-sequencing (snRNA-seq) on interscapular BAT from mice maintained at room temperature or exposed to acute (24h) or chronic (10 days) cold (6 °C). To investigate the role of the de novo lipogenesis (DNL)-regulating transcription factor carbohydrate response element-binding protein (ChREBP), we analyzed control and brown adipocyte-specific ChREBP knockout mice.

Results

We identified different cell populations, including seven brown adipocyte subtypes with distinct metabolic profiles. One of them highly expressed ChREBP and DNL enzymes. Notably, these lipogenic adipocytes were highly sensitive to acute cold exposure, showing a marked depletion in BAT of control mice that was compensated by other brown adipocyte subtypes maintaining DNL. Chronic cold exposure resulted in an expansion of basal brown adipocytes and adipocytes putatively derived from stromal and endothelial precursors. In ChREBP-deficient mice, lipogenic adipocytes were almost absent under all conditions, identifying the transcription factor as a key determinant of this adipocyte subtype. Detailed expression analyses revealed Ttc25 as a specific marker of lipogenic brown adipocytes and as a downstream target of ChREBP. Furthermore, pathway and cell–cell interaction analyses implicated a Wnt–ChREBP axis in the maintenance of lipogenic adipocytes, with Wnt ligands from stromal and muscle cells providing instructive cues.

Conclusions

Our findings provide a comprehensive atlas of BAT cellular heterogeneity and reveal a critical role for ChREBP in lipogenic adipocyte identity, with implications for BAT plasticity and metabolic function.

 

 

Articles in Press

Single-nucleus mRNA-sequencing reveals dynamics of lipogenic and thermogenic adipocyte populations in murine brown adipose tissue in response to cold exposure

Janina Behrens, Tongtong Wang, Christoph Kilian, Anna Worthmann, ... Ludger Scheja

Single-nucleus mRNA-sequencing reveals dynamics of lipogenic and thermogenic adipocyte populations in murine brown adipose tissue in response to cold exposure

 

Objective and methods

Brown adipose tissue (BAT) comprises a heterogeneous population of adipocytes and non-adipocyte cell types. To characterize these cellular subpopulations and their adaptation to cold, we performed single-nucleus mRNA-sequencing (snRNA-seq) on interscapular BAT from mice maintained at room temperature or exposed to acute (24h) or chronic (10 days) cold (6 °C). To investigate the role of the de novo lipogenesis (DNL)-regulating transcription factor carbohydrate response element-binding protein (ChREBP), we analyzed control and brown adipocyte-specific ChREBP knockout mice.

Results

We identified different cell populations, including seven brown adipocyte subtypes with distinct metabolic profiles. One of them highly expressed ChREBP and DNL enzymes. Notably, these lipogenic adipocytes were highly sensitive to acute cold exposure, showing a marked depletion in BAT of control mice that was compensated by other brown adipocyte subtypes maintaining DNL. Chronic cold exposure resulted in an expansion of basal brown adipocytes and adipocytes putatively derived from stromal and endothelial precursors. In ChREBP-deficient mice, lipogenic adipocytes were almost absent under all conditions, identifying the transcription factor as a key determinant of this adipocyte subtype. Detailed expression analyses revealed Ttc25 as a specific marker of lipogenic brown adipocytes and as a downstream target of ChREBP. Furthermore, pathway and cell–cell interaction analyses implicated a Wnt–ChREBP axis in the maintenance of lipogenic adipocytes, with Wnt ligands from stromal and muscle cells providing instructive cues.

Conclusions

Our findings provide a comprehensive atlas of BAT cellular heterogeneity and reveal a critical role for ChREBP in lipogenic adipocyte identity, with implications for BAT plasticity and metabolic function.

 

 

Opening Abstract Submission & Registration

13th
Helmholtz Diabetes Conference 

Munich, 21-23. Sep 2026                                                                                                                             

2024 impact factor: 6.6

You are what you eat

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