Nature, auth.: group Benton

Circadian plasticity evolves through regulatory changes in a neuropeptide gene

Michael P Shahandeh 1 2Liliane Abuin 3Lou Lescuyer De Decker 3Julien Cergneux 3Rafael Koch 4Emi Nagoshi 4Richard Benton 5

. 2024 Oct 16.

Abstract

Many organisms, including cosmopolitan drosophilids, show circadian plasticity, varying their activity with changing dawn-dusk intervals1. How this behaviour evolves is unclear. Here we compare Drosophila melanogaster with Drosophila sechellia, an equatorial, ecological specialist that experiences minimal photoperiod variation, to investigate the mechanistic basis of circadian plasticity evolution2. D. sechellia has lost the ability to delay its evening activity peak time under long photoperiods. Screening of circadian mutants in D. melanogaster/D. sechellia hybrids identifies a contribution of the neuropeptide pigment-dispersing factor (Pdf) to this loss. Pdf exhibits species-specific temporal expression, due in part to cis-regulatory divergence. RNA interference and rescue experiments in D. melanogaster using species-specific Pdf regulatory sequences demonstrate that modulation of this neuropeptide’s expression affects the degree of behavioural plasticity. The Pdf regulatory region exhibits signals of selection in D. sechellia and across populations of D. melanogaster from different latitudes. We provide evidence that plasticity confers a selective advantage for D. melanogaster at elevated latitude, whereas D. sechellia probably suffers fitness costs through reduced copulation success outside its range. Our findings highlight this neuropeptide gene as a hotspot locus for circadian plasticity evolution that might have contributed to both D. melanogaster’s global distribution and D. sechellia’s specialization.

STAR Protoc, auth.: group Gambetta

Protocol for detecting genomic insulators in Drosophila using insulator-seq, a massively parallel reporter assay

Anastasiia Tonelli 1Pascal Cousin 2Maria Cristina Gambetta 3

 2024 Oct 24;5(4):103391.

Free article

Abstract

Genomic insulators are DNA elements that prevent transcriptional activation of a promoter by an enhancer when interposed. We present a protocol for insulator-seq that enables high-throughput screening of genomic insulators using a plasmid-based massively parallel reporter assay in Drosophila cultured cells. We describe steps for insulator reporter plasmid library generation, transient transfection into cultured cells, and sequencing library preparation and provide a pipeline for data analysis. For complete details on the use and execution of this protocol, please refer to Tonelli et al.1.

Adv Sci (Weinh), auth.: W.Wahli

The LIDPAD Mouse Model Captures the Multisystem Interactions and Extrahepatic Complications in MASLD

Zun Siong Low 1Damien Chua 1Hong Sheng Cheng 1Rachel Tee 1Wei Ren Tan 1Christopher Ball 2Norliza Binte Esmail Sahib 1Ser Sue Ng 1Jing Qu 3Yingzi Liu 4Haiyu Hong 5Chaonong Cai 5Nandini Chilagondanahalli Lakshmi Rao 6Aileen Wee 7Mark Dhinesh Muthiah 8 9 10Zoë Bichler 1Barbara Mickelson 11Mei Suen Kong 1Vanessa Shiyun Tay 1Zhuang Yan 1Jiapeng Chen 1Aik Seng Ng 12Yun Sheng Yip 1Marcus Ivan Gerard Vos 1Nicole Ashley Tan 13Dao Liang Lim 13Debbie Xiu En Lim 1Manesh Chittezhath 1Jadegoud Yaligar 2 14Sanjay Kumar Verma 2Harish Poptani 15Xue Li Guan 1Sambasivam Sendhil Velan 2 9 14Yusuf Ali 1 16Liang Li 17Nguan Soon Tan 1 13Walter Wahli 1 18 19

. 2024 Sep;11(35):e2404326.

 doi: 10.1002/advs.202404326. Epub 2024 Jul 1.

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents an impending global health challenge. Current management strategies often face setbacks, emphasizing the need for preclinical models that faithfully mimic the human disease and its comorbidities. The liver disease progression aggravation diet (LIDPAD), a diet-induced murine model, extensively characterized under thermoneutral conditions and refined diets is introduced to ensure reproducibility and minimize species differences. LIDPAD recapitulates key phenotypic, genetic, and metabolic hallmarks of human MASLD, including multiorgan communications, and disease progression within 4 to 16 weeks. These findings reveal gut-liver dysregulation as an early event and compensatory pancreatic islet hyperplasia, underscoring the gut-pancreas axis in MASLD pathogenesis. A robust computational pipeline is also detailed for transcriptomic-guided disease staging, validated against multiple harmonized human hepatic transcriptomic datasets, thereby enabling comparative studies between human and mouse models. This approach underscores the remarkable similarity of the LIDPAD model to human MASLD. The LIDPAD model fidelity to human MASLD is further confirmed by its responsiveness to dietary interventions, with improvements in metabolic profiles, liver histopathology, hepatic transcriptomes, and gut microbial diversity. These results, alongside the closely aligned changing disease-associated molecular signatures between the human MASLD and LIDPAD model, affirm the model’s relevance and potential for driving therapeutic development.

Am J Hum Genet, auth.:group Reymond

Disentangling mechanisms behind the pleiotropic effects of proximal 16p11.2 BP4-5 CNVs

Chiara Auwerx 1Samuel Moix 2Zoltán Kutalik 3Alexandre Reymond 4

. 2024 Sep 23:S0002-9297(24)00300-8.

 doi: 10.1016/j.ajhg.2024.08.014. Online ahead of print.

Free article

Abstract

Whereas 16p11.2 BP4-5 copy-number variants (CNVs) represent one of the most pleiotropic etiologies of genomic syndromes in both clinical and population cohorts, the mechanisms leading to such pleiotropy remain understudied. Identifying 73 deletion and 89 duplication carrier individuals among unrelated White British UK Biobank participants, we performed a phenome-wide association study (PheWAS) between the region’s copy number and 117 complex traits and diseases, mimicking four dosage models. Forty-six phenotypes (39%) were affected by 16p11.2 BP4-5 CNVs, with the deletion-only, mirror, U-shape, and duplication-only models being the best fit for 30, 10, 4, and 2 phenotypes, respectively, aligning with the stronger deleteriousness of the deletion. Upon individually adjusting CNV effects for either body mass index (BMI), height, or educational attainment (EA), we found that sixteen testable deletion-driven associations-primarily with cardiovascular and metabolic traits-were BMI dependent, with EA playing a more subtle role and no association depending on height. Bidirectional Mendelian randomization supported that 13 out of these 16 associations were secondary consequences of the CNV’s impact on BMI. For the 23 traits that remained significantly associated upon individual adjustment for mediators, matched-control analyses found that 10 phenotypes, including musculoskeletal traits, liver enzymes, fluid intelligence, platelet count, and pneumonia and acute kidney injury risk, remained associated under strict Bonferroni correction, with 10 additional nominally significant associations. These results paint a complex picture of 16p11.2 BP4-5’s pleiotropic pattern that involves direct effects on multiple physiological systems and indirect co-morbidities consequential to the CNV’s impact on BMI and EA, acting through trait-specific dosage mechanisms.

Review Am J Hum Genet, Auth.: group Reymond

The pleiotropic spectrum of proximal 16p11.2 CNVs

Chiara Auwerx 1Zoltán Kutalik 2Alexandre Reymond 3

. 2024 Sep 23:S0002-9297(24)00301-X.

 doi: 10.1016/j.ajhg.2024.08.015. Online ahead of print.

Free article

Abstract

Recurrent genomic rearrangements at 16p11.2 BP4-5 represent one of the most common causes of genomic disorders. Originally associated with increased risk for autism spectrum disorder, schizophrenia, and intellectual disability, as well as adiposity and head circumference, these CNVs have since been associated with a plethora of phenotypic alterations, albeit with high variability in expressivity and incomplete penetrance. Here, we comprehensively review the pleiotropy associated with 16p11.2 BP4-5 rearrangements to shine light on its full phenotypic spectrum. Illustrating this phenotypic heterogeneity, we expose many parallels between findings gathered from clinical versus population-based cohorts, which often point to the same physiological systems, and emphasize the role of the CNV beyond neuropsychiatric and anthropometric traits. Revealing the complex and variable clinical manifestations of this CNV is crucial for accurate diagnosis and personalized treatment strategies for carrier individuals. Furthermore, we discuss areas of research that will be key to identifying factors contributing to phenotypic heterogeneity and gaining mechanistic insights into the molecular pathways underlying observed associations, while demonstrating how diversity in affected individuals, cohorts, experimental models, and analytical approaches can catalyze discoveries.

Cancer Cell, co-auth.: M.Quadroni

Fibrotic response to anti-CSF-1R therapy potentiates glioblastoma recurrence

Spencer S Watson 1Anoek Zomer 2Nadine Fournier 3Joao Lourenco 3Manfredo Quadroni 4Agnieszka Chryplewicz 5Sina Nassiri 3Pauline Aubel 1Simona Avanthay 2Davide Croci 2Erik Abels 6Marike L D Broekman 6Douglas Hanahan 7Jason T Huse 8Roy T Daniel 9Monika E Hegi 10Krisztian Homicsko 11Giulia Cossu 12Andreas F Hottinger 13Johanna A Joyce 14

. 2024 Sep 9;42(9):1507-1527.e11.

 doi: 10.1016/j.ccell.2024.08.012.

Free article

Abstract

Glioblastoma recurrence is currently inevitable despite extensive standard-of-care treatment. In preclinical studies, an alternative strategy of targeting tumor-associated macrophages and microglia through CSF-1R inhibition was previously found to regress established tumors and significantly increase overall survival. However, recurrences developed in ∼50% of mice in long-term studies, which were consistently associated with fibrotic scars. This fibrotic response is observed following multiple anti-glioma therapies in different preclinical models herein and in patient recurrence samples. Multi-omics analyses of the post-treatment tumor microenvironment identified fibrotic areas as pro-tumor survival niches that encapsulated surviving glioma cells, promoted dormancy, and inhibited immune surveillance. The fibrotic treatment response was mediated by perivascular-derived fibroblast-like cells via activation by transforming growth factor β (TGF-β) signaling and neuroinflammation. Concordantly, combinatorial inhibition of these pathways inhibited treatment-associated fibrosis, and significantly improved survival in preclinical trials of anti-colony-stimulating factor-1 receptor (CSF-1R) therapy.