Evidence map›Paper›PMID 40663423›Full record

ArticleThe Journal of clinical investigation2025

Efficacy and safety of a therapeutic humanized FSH-blocking antibody in obesity and Alzheimer's disease models.

Anusha R Pallapati, Funda Korkmaz, Satish Rojekar, Steven Sims, Anurag Misra, Judit Gimenez-Roig, Aishwarya Gangadhar, Victoria Laurencin, Anisa Gumerova, Uliana Cheliadinova and 41 more

Abstract read
In one paragraph

Article in The Journal of clinical investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Latest Advancements in Biotherapeutics.Current pharmaceutical biotechnology · 2026
    Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

51 authors.

Anusha R PallapatiMount Sinai Center for Translational Medicine and Pharmacology.
Funda KorkmazMount Sinai Center for Translational Medicine and Pharmacology.
Satish RojekarMount Sinai Center for Translational Medicine and Pharmacology.
Steven SimsMount Sinai Center for Translational Medicine and Pharmacology.
Anurag MisraGreehey Children's Cancer Research Institute and.
Judit Gimenez-RoigMount Sinai Center for Translational Medicine and Pharmacology.
Aishwarya GangadharMount Sinai Center for Translational Medicine and Pharmacology.
Victoria LaurencinMount Sinai Center for Translational Medicine and Pharmacology.
Anisa GumerovaMount Sinai Center for Translational Medicine and Pharmacology.
Uliana CheliadinovaMount Sinai Center for Translational Medicine and Pharmacology.
Farhath SultanaMount Sinai Center for Translational Medicine and Pharmacology.
Darya VasilyevaMount Sinai Center for Translational Medicine and Pharmacology.
Liam CullenMount Sinai Center for Translational Medicine and Pharmacology.
Jonathan SchuermannNortheastern Collaborative Access Team, Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York, USA.
Jazz MunitzBioMedical Engineering and Imaging Institute.
Hasni KannangaraMount Sinai Center for Translational Medicine and Pharmacology.
Surabhi ParteMount Sinai Center for Translational Medicine and Pharmacology.
Georgii PevnevMount Sinai Center for Translational Medicine and Pharmacology.
Guzel BurganovaMount Sinai Center for Translational Medicine and Pharmacology.
Zehra TumogluMount Sinai Center for Translational Medicine and Pharmacology.
Ronit WitztumMount Sinai Center for Translational Medicine and Pharmacology.
Soleil WizmanMount Sinai Center for Translational Medicine and Pharmacology.
Natan KramskiyMount Sinai Center for Translational Medicine and Pharmacology.
Liah IgelMount Sinai Center for Translational Medicine and Pharmacology.
Fazilet SenMount Sinai Center for Translational Medicine and Pharmacology.
Anna RanzenigoBioMedical Engineering and Imaging Institute.
Anne MacdonaldMount Sinai Center for Translational Medicine and Pharmacology.
Susan HutchisonMount Sinai Center for Translational Medicine and Pharmacology.
Abraham Jp TeunissenBioMedical Engineering and Imaging Institute.
Heather BurkartMount Sinai Center for Translational Medicine and Pharmacology.
Mansi SaxenaMount Sinai Center for Translational Medicine and Pharmacology.
Yelena GinsburgMount Sinai Center for Translational Medicine and Pharmacology.
Ki GoosensMount Sinai Center for Translational Medicine and Pharmacology.
Weibin ZhouMount Sinai Center for Translational Medicine and Pharmacology.
Vitaly RyuMount Sinai Center for Translational Medicine and Pharmacology.
Ofer MoldavskiMount Sinai Center for Translational Medicine and Pharmacology.
Orly BarakMount Sinai Center for Translational Medicine and Pharmacology.
Michael PazianasMount Sinai Center for Translational Medicine and Pharmacology.
John CaminisMount Sinai Center for Translational Medicine and Pharmacology.
Shalender BhasinDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Richard FitzgeraldInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Se-Min KimMount Sinai Center for Translational Medicine and Pharmacology.
Matthew QuinnDepartment of Pathology-Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Shozeb HaiderSchool of Pharmacy, University College London, London, United Kingdom.
Susan ApptDepartment of Pathology-Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Tal FrolingerMount Sinai Center for Translational Medicine and Pharmacology.
Clifford J RosenMaineHealth Institute for Research, Scarborough, Maine, USA.
Daria LiznevaMount Sinai Center for Translational Medicine and Pharmacology.
Yogesh K GuptaGreehey Children's Cancer Research Institute and.
Tony YuenMount Sinai Center for Translational Medicine and Pharmacology.
Mone ZaidiMount Sinai Center for Translational Medicine and Pharmacology.

Funding

User Training and OutreachP30GM124165 · NIGMS · CORNELL UNIVERSITY · PI MALCOLM S. CAPEL · 2018 to 2026
$34.2M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Targeting FSH for the Therapy of Osteoporosis, Obesity and NeurodegenerationU19AG060917 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PENG LIU · 2019 to 2026
$29.0M
Vervet Research Colony as a Biomedical ResourceP40OD010965 · OD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Matthew Jorgensen · 2012 to 2026
$14.6M
A Humanized Monoclonal FSH Blocking Antibody for Alzheimer's DiseaseU01AG073148 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Tony Yuen, Mone Zaidi · 2021 to 2026
$10.6M
Elevated FSH - A Driver for Sex Differences in Alzheimer's DiseaseR01AG074092 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAROUTUNIAN, VAHRAM, YUEN, TONY · 2021 to 2025
$6.3M
The Role of Erythroferrone in Regulating Bone Metabolism in Beta-ThalassemiaR01DK107670 · NIDDK · NEW YORK BLOOD CENTER · PI GINZBURG, YELENA, YUEN, TONY · 2015 to 2025
$4.5M
Proof-of-Concept and Mechanistic Studies to Repurpose Erectile Dysfunction Drugs for Elderly FemalesR01AG071870 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KIM, SE-MIN, YUEN, TONY · 2021 to 2025
$3.9M
Mechanism-based Targeting of the RNA Processing Machinery of SARS-CoV-2R01AI161363 · NIAID · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GUPTA, YOGESH K · 2021 to 2025
$3.2M
NCATS NIH HHS UL1 TR001420NIAID NIH HHS R01 AI161363NIA NIH HHS R01 AG071870NIA NIH HHS R01 AG074092NIA NIH HHS U01 AG073148NIA NIH HHS U19 AG060917NIDDK NIH HHS R01 DK107670NIGMS NIH HHS P30 GM124165NIH HHS P40 OD010965
6 · The paper itself

Abstract

There is growing evidence for direct actions of follicle-stimulating hormone (FSH) on tissues other than the ovaries and testes. Blocking FSH action, either genetically or pharmacologically, protects against bone loss, fat gain, and memory loss in mice. We thus developed a humanized FSH-blocking antibody, MS-Hu6, as a lead therapeutic for 3 diseases of public health magnitude - osteoporosis, obesity, and Alzheimer's disease (AD) - that track together in postmenopausal women. Here, we report the crystal structure of MS-Hu6 and its interaction with FSH in atomistic detail. Using our Good Laboratory Practice platform (21 CFR 58), we formulated MS-Hu6 and the murine equivalent, Hf2, at an ultra-high concentration; both formulated antibodies displayed enhanced thermal and colloidal stability. A single injection of 89Zr-labeled MS-Hu6 revealed a β phase t½ of 79 and 132 hours for female and male mice, respectively, with retention in regions of interest. Female mice injected subcutaneously with Hf2 displayed a dose-dependent reduction in body weight and body fat, in the face of reduced free (bioavailable) FSH and unperturbed estrogen levels. Hf2 also rescued recognition memory and spatial learning loss in a context- and time-dependent manner in AD-prone 3xTg and APP/PS1 mice. MS-Hu6 injected into African green monkeys (8 mg/kg) intravenously, and then subcutaneously at monthly intervals, was safe, and without effects on vital signs, blood chemistries, or blood counts. There was a notable approximately 4% weight loss in all 4 monkeys after the first injection, which continued in 2 of the monkeys. We thus provide Investigational New Drug-enabling data for a planned first-in-human study.

Indexed as

Alzheimer DiseaseAntibodies, Monoclonal, HumanizedFollicle Stimulating HormoneObesityAnimalsDisease Models, AnimalFemaleHumansMaleMiceAntibodies, Monoclonal, HumanizedFollicle Stimulating HormoneAdipose tissueDrug therapyEndocrinologyNeurodegenerationTherapeutics

Identifiers

PMID40663423
PMCPMC12404759

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.