Transcriptome profiling of human hypothalamic agouti-related protein and proopiomelanocortin neurons regulating energy homeostasis

Takács Szabolcs; Skrapits Katalin; Göcz Balázs; Rumpler Éva; Sárvári Miklós; Göblyös Barbara; Biri Dalma; Póliska Szilárd; Rácz Gergely; Matolcsy András; Hrabovszky Erik: Transcriptome profiling of human hypothalamic agouti-related protein and proopiomelanocortin neurons regulating energy homeostasis.
NATURE COMMUNICATIONS, 17 (1). ISSN 2041-1723 (2026)

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Folyóiratcikk

Szerző azonosítók:

Név	ORCID	MTMT szerző azonosító
Takács Szabolcs	0000-0002-0155-9223
Skrapits Katalin
Göcz Balázs
Rumpler Éva
Sárvári Miklós
Göblyös Barbara		10098644
Biri Dalma
Póliska Szilárd	0000-0002-9722-251X
Rácz Gergely		10023602
Matolcsy András	0000-0002-5382-2150	10000495
Hrabovszky Erik	0000-0001-6927-0015

Absztrakt (kivonat):

We present and validate a pioneering ‘IHC/LCM-Seq’ method for transcriptome profiling of spatially defined neuronal cell types detected with immunohistochemistry in sections of formaldehyde-fixed human brains. Application of IHC/LCM-Seq to male human hypothalami enables the identification of 14,000–16,000 transcripts in agouti-related protein (AgRP) neurons, which drive appetite and energy storage, and proopiomelanocortin (POMC) neurons, which suppress feeding and promote energy expenditure. These cell types differ from each other, and from fertility-regulating kisspeptin neurons, in their distinct enrichments of co-transmitters, transcription factors, regulatory (lnc) RNAs and receptors. The AgRP neuron transcriptome is rich in receptors for proinflammatory cytokines, metabolic hormones and growth hormone, whereas POMC neurons express reproductive hormone-, glucagon-like peptide-, calcitonin-, and endocannabinoid receptors. IHC/LCM-Seq, a versatile spatial transcriptomic approach for characterizing cell types in postmortem human brain tissue, opens a new window onto the molecular mechanisms that regulate energy homeostasis and highlights potential pharmacological targets for weight-management strategies.

Folyóirat címe:

NATURE COMMUNICATIONS

Megjelenés éve:

2026

Kötet:

Szám:

ISSN:

2041-1723

Intézmény:

Pázmány Péter Katolikus Egyetem

Kar:

Információs Technológiai és Bionikai Kar (2013.07.-)