Multiple myeloma (MM) is a type of blood cancer that affects plasma cells, which are responsible for producing antibodies. MM is characterized by the accumulation of abnormal plasma cells in the bone marrow, leading to bone damage, kidney failure, anemia, and increased susceptibility to infections. MM is a heterogeneous disease with different subtypes and genetic mutations that affect the prognosis and response to treatment. Therefore, there is a need for new biomarkers and therapeutic targets that can improve the outcomes of MM patients.

One of the potential targets that has recently emerged is the fatty acid binding protein (FABP) family. FABPs are proteins that bind and transport fatty acids, which are essential for energy production, cell signaling and membrane synthesis. FABPs are expressed in various tissues and organs, and have different roles depending on their location and type. There are nine members of the FABP family, but FABP5 seems to be the most relevant for MM.

In a recent editorial paper, researchers Heather Fairfield and Michaela R. Reagan from Maine Health Institute for Research, University of Maine and Tufts University School of Medicine summarized previous findings from their 2023 study and the current evidence on the role of FABPs in MM. On June 19, 2023, their editorial was published in Oncotarget, entitled, “The hope for targeting fatty acid binding proteins in multiple myeloma.”

Full blog - https://www.oncotarget.org/2023/09/21/targeting-fatty-acid-binding-proteins-in-multiple-myeloma/

Paper DOI - https://doi.org/10.18632/oncotarget.28437

Correspondence to - Michaela R. Reagan - Michaela.Reagan@mainehealth.org

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Keywords - cancer, multiple myeloma, FABPs, fatty acid binding proteins, immunoncology, pre-clinical discovery

About Oncotarget 

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.

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Blog: Targeting Fatty Acid Binding Proteins in Multiple Myeloma

BUFFALO, NY — December 8, 2025 — A new #research paper was #published in Volume 17, Issue 11 of Aging-US on September 12, 2025, titled “Infusion of blood from young and old mice modulates amyloid pathology.”

This study was led by co-first authors Matias Pizarro from Universidad Adolfo Ibáñez and Ruben Gomez-Gutierrez from The University of Texas Health Science Center at Houston, alongside corresponding authors Claudia Duran-Aniotz from Universidad Adolfo Ibáñez and Rodrigo Morales from The University of Texas Health Science Center at Houston and Universidad Bernardo O’Higgins. The goal was to investigate how blood from young and old mice influences Alzheimer’s-related changes in a transgenic mouse model. The findings indicate that age-dependent circulating factors can either worsen or mitigate brain changes associated with dementia, highlighting blood and its components as potential therapeutic targets.

Alzheimer’s disease is a progressive neurodegenerative disorder characterized by misfolded amyloid proteins, inflammation, and gradual cognitive decline, with aging as its main risk factor. In this work, whole blood from young adult or very old wild-type mice was repeatedly infused into Tg2576 mice, a well-established model of amyloid accumulation and memory impairment. Over several months, recipient mice received 30 weekly blood infusions, followed by behavioral testing and detailed neuropathological analyses.

“Tg2576 mice express the human APP harboring the Swedish mutation.”

Mice that received blood from old donors performed worse in both short- and long-term spatial memory tasks than mice infused with young blood, suggesting that aged blood contains factors that impair cognition. When the team examined brain tissue, they found more cortical amyloid deposits detected by a specific antibody in mice treated with old blood, while overall amyloid levels measured biochemically did not change, suggesting differences in plaque type or compactness rather than total amount. The expression of amyloid precursor protein in the brain was also higher after old-blood infusion, which may partly explain the shift in amyloid pathology.​

Despite these changes in plaques and memory, classical markers of astrocyte activation, a sign of brain inflammation, did not differ between groups, pointing to more subtle molecular shifts. A broad proteomic analysis of brain samples revealed dysregulation of proteins involved in synapse formation, calcium signaling, and the endocannabinoid system, pathways important for neuronal communication and plasticity. Among them, the calcium channel–related protein CACNA2D2 and the signaling protein BRAF were increased in mice that received old blood, confirming that aged blood circulation can reshape key signaling networks linked to neuronal function and degeneration.

Overall, this study supports the idea that blood is not just a passive carrier but a powerful modulator of brain health during aging and disease. While young blood has been associated in previous work with improved synaptic function and reduced amyloid and tau changes, this study emphasizes the harmful impact of old blood, particularly on cortical amyloid patterns and memory. The identification of CACNA2D2 and BRAF as potential mediators of these effects suggests new avenues for targeting blood-borne factors or downstream brain pathways to slow or modify Alzheimer’s-related decline.

DOI - https://doi.org/10.18632/aging.206319

Corresponding authors - Claudia Duran-Aniotz - Claudia.Duran@uai.cl, and Rodrigo Morales - Rodrigo.MoralesLoyola@uth.tmc.edu

Abstract video - https://www.youtube.com/watch?v=zsBDSAipH3w

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Aging-US

Young and Old Mice Blood Differently Shapes Alzheimer’s-Related Brain Changes

If you’re considering applying to Berkeley Divinity School at Yale, this episode is for you! 

It’s the SEMINARIAN TAKEOVER episode of The Leader’s Way Podcast. Berkeley Divinity School at Yale students Whitney Kimball Coe ’26, Misty Krasawski ‘26, and Jae Kirkland Rice ’27, pull back the curtain on what it’s like to be at seminary and divinity school.  

Our seminarians tell stories about how they made the decision to apply to Yale Divinity School and the questions, longings, and experiences that led them here. In this episode, we learn that there is no single path that leads a person to seminary, but many. We hear about worship at Berkeley, favorite courses, the importance of staying “prayed up,” and the ways God surprises us throughout this journey. 

 

Learn more at the Berkeley at Yale website: https://berkeleydivinity.yale.edu/ 

Special episode: The Seminarian Takeover!

The paper featured on the cover of this issue of Aging-US, published on October 30, 2025, entitled “SAMP-Score: a morphology-based machine learning classification method for screening pro-senescence compounds in p16-positive cancer cells,” represents an important methodological and conceptual advance at the interface of senescence biology, imaging and drug discovery.

In this study, led by first author Ryan Wallis and corresponding author Cleo L. Bishop (Queen Mary University of London), the authors introduce SAMP-Score, a machine-learning–based framework designed to identify bona fide senescence induction in cancer cells where canonical markers fail. This is a timely and much-needed contribution to the field.

Therapy-induced senescence has emerged as a powerful strategy to restrain tumor growth, yet its reliable detection in cancer cells remains a major bottleneckIn these contexts, cells often already display features associated with cellular aging, rendering conventional senescence markers ambiguous or misleading. Distinguishing true senescence from toxicity, stress responses or baseline “aged” phenotypes is therefore a critical unmet need.

Rather than relying on predefined molecular readouts, the authors take a different approach and train a machine-learning model to recognize senescence-associated morphological profiles (SAMPs) which are subtle but reproducible changes in cellular architecture captured through high-content microscopy. By learning directly from image-based phenotypes, SAMP-Score is able to identify senescence with a level of precision that is difficult to achieve using marker-based strategies alone.

The strength of the platform demonstrated through a large-scale screen of over 10,000 novel chemical entities in p16-positive basal-like breast cancer cells. From this screen, the compound QM5928 emerged as a robust inducer of senescence across multiple cancer models, notably without inducing cytotoxicity. Importantly, QM5928 retains activity in cellular contexts that are resistant to CDK4/6 inhibition, including palbociclib-refractory, p16-high tumors.

Mechanistically, the authors show that QM5928 promotes nuclear relocalization of p16, consistent with a functional engagement of cell-cycle arrest pathways. These nuanced phenotypic changes would likely have gone undetected without the resolution and discrimination provided by SAMP-Score, underscoring the platform’s ability to separate true senescence from confounding cellular states.

This work exemplifies how machine learning and quantitative imaging can be harnessed to solve long-standing problems in senescence research, moving the field beyond binary marker expression toward phenotype-driven classification. Beyond its immediate relevance for cancer therapy, SAMP-Score offers a broadly applicable framework for senescence-based screening efforts across biological contexts.

DOI - https://doi.org/10.18632/aging.206333

Corresponding author - Cleo L. Bishop - c.l.bishop@qmul.ac.uk

Abstract video - https://www.youtube.com/watch?v=qXI_KI3EgHE

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Aging-US Editors' Choice

Treating aggressive cancers that do not respond to standard therapies remains one of the most significant challenges in oncology. Among these are basal-like breast cancers (BLBC), which lack hormone receptors and HER2 amplification. This makes them unsuitable for many existing targeted treatments. As a result, therapeutic options are limited, and patient outcomes are often poor.

One emerging strategy is to induce senescence, a state in which cancer cells permanently stop dividing but remain metabolically active. This approach aims to slow or stop tumor growth without killing the cells directly. Although promising, the clinical application of senescence-based therapies has been limited by several challenges.

Senescence is typically identified using biomarkers such as p16, p21, and beta-galactosidase activity. However, these markers are often already present in aggressive cancers like BLBC (Sen‑Mark+ tumors), making it difficult to determine whether a treatment is truly inducing senescence or merely reflecting the tumor’s existing biology. Moreover, conventional screening methods may mistake reduced cell growth for senescence, cell death, or temporary growth arrest, leading to inaccurate assessments. This is especially problematic in large-scale drug screening, where thousands of compounds must be evaluated quickly and reliably.

To overcome these issues, researchers from Queen Mary University of London and the University of Dundee have developed a new machine learning–based method to improve the detection of senescence in cancer cells. Their findings were recently published in Aging-US.

The Study: Developing the SAMP-Score

The study, titled “SAMP-Score: a morphology-based machine learning classification method for screening pro-senescence compounds in p16-positive cancer cells,” was led by Ryan Wallis and corresponding author Cleo L. Bishop from Queen Mary University of London. This paper was featured on the cover of Aging-US Volume 17, Issue 11, and highlighted as our Editors’ Choice.

Full blog - https://aging-us.org/2025/12/using-machine-learning-to-identify-senescence-inducing-drugs-for-resistant-cancers/

Paper DOI - https://doi.org/10.18632/aging.206333

Corresponding author - Cleo L. Bishop - c.l.bishop@qmul.ac.uk

Abstract video - https://www.youtube.com/watch?v=qXI_KI3EgHE

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Keywords - aging, SAMP-Score, senescence, senescent marker positive cancer cells, Sen-Mark+, machine learning, pro-senescence, high-throughput compound screening

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Using Machine Learning to Identify Senescence-Inducing Drugs for Resistant Cancers

BUFFALO, NY — December 12, 2025 — A new #research paper was #published in Volume 17, Issue 11 of Aging-US on November 14, 2025, titled “Methylglyoxal-induced glycation stress promotes aortic stiffening: putative mechanistic roles of oxidative stress and cellular senescence.”

The study was led by first authors Parminder Singh of the Buck Institute for Research on Aging and Ravinandan Venkatasubramanian of the University of Colorado Boulder, with senior contributions from corresponding authors Pankaj Kapahi (Buck Institute for Research on Aging) and Zachary S. Clayton (University of Colorado Boulder and University of Colorado Anschutz Medical Campus). The researchers investigated how methylglyoxal (MGO), a toxic byproduct that builds up in blood vessels with age or metabolic dysfunction like diabetes, contributes to artery stiffening. Their findings are especially important to aging and diabetes-related cardiovascular risk.

Aortic stiffening, which reduces the flexibility of the body’s largest artery, is a key predictor of cardiovascular disease in older adults. The research team used young and aged mice to study how MGO affects vascular health. In young mice, chronic exposure to MGO increased aortic stiffness by 21%. However, when treated with Gly-Low, a supplement containing natural compounds such as nicotinamide and alpha-lipoic acid, this stiffening was completely prevented. Gly-Low also reduced the buildup of MGO and its harmful byproducts, particularly MGH-1, in both blood and tissue.

“Aortic stiffness was assessed in vivo via pulse wave velocity (PWV) and ex vivo through elastic modulus.”

The research showed that MGO’s damage goes beyond structural changes. It also caused the endothelial cells that line blood vessels to enter senescence, a state in which cells stop dividing and begin releasing inflammatory signals. This led to lower levels of nitric oxide, a molecule essential for blood vessel relaxation. In human vascular cells in lab culture, Gly-Low reversed these aging-like changes and restored nitric oxide production.

In older mice, which naturally develop stiffer arteries, Gly-Low treatment during four months significantly reduced stiffness and lowered MGO and MGH-1 levels. This suggests that Gly-Low may help slow or even reverse vascular aging by reducing glycation stress.

The study also identified the glyoxalase-1 pathway as a critical mechanism. This is a natural detox system that helps clear harmful molecules like MGO. Gly-Low appeared to boost this pathway. When the pathway was chemically blocked, Gly-Low’s protective effects disappeared, confirming its role in the process.

Overall, the findings highlight glycation stress as a modifiable contributor to vascular aging. The results suggest that natural compound-based therapies, like Gly-Low, may offer a potential strategy to protect arteries from age- and diabetes-related damage.

DOI - https://doi.org/10.18632/aging.206335

Corresponding authors: Pankaj Kapahi - pkapahi@buckinstitute.org; Zachary S. Clayton - Zachary.Clayton@cuanschutz.edu

Abstract video: https://www.youtube.com/watch?v=i_rtq8eIb8c

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Glycation Stress Promotes Arterial Stiffening and Is Reversed by a Natural Compound in Aging Mice

Socio-cultural anthropologist Todne Thomas, Associate Professor of Divinity and Religious Studies at Yale Divinity School, discusses researching a 2015 arson of a predominantly Black church in Tennessee, what it says about humanity, and why in-depth study of American religious life is critically important.

What a 2015 Church Burning Reveals About Race, Religion, and Life in America with Professor Todne Thomas

YJBM Science News is back with Part 1 of our very first Special Episode! Join Hanna, Majo, and Roxanna as they sit down with Dr. Diyendo Massilani, a researcher and professor at Yale investigating evolutionary genetics. We’ll hear from Dr. Massilani about the challenges and ethical considerations of working with ancient DNA, as well as the incredible doors it has opened to what we can interrogate and what we know about extinct human populations. Keep an eye out in the new year for Part 2, which will dive into the groundbreaking work of Dr. Massilani’s former mentor and 2022 Nobel prize winner Dr. Svante Pääbo.

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Science News Special Episode - Ancient DNA and Evolutionary Genetics: An Interview with Dr. Diyendo Massilani

In this tender and powerful episode, Leader’s Way host Brandon Nappi interviews Nelba Márquez-Greene, a devoted advocate for survivors of gun violence and someone who has been named one of the “Ten Women Changing the World,” according to People Magazine’s October 2019 issue. A Community Scholar at the Yale School of Public Health, Nelba also hosts the “Shared Humanity” podcast and video series, which focuses on the humans behind the headlines of gun violence in a moment in history where all too often we focus on everything but our shared humanity. Márquez-Greene seeks ways to partner with community organizations, clergy, and those looking to strengthen their response to the trauma of gun violence and injustice in our communities.  

 
Nelba would like to dedicate this episode to all clergy who have ever prayed for her and her family and all people who are in winter seasons of their souls. 


Host: Brandon Nappi 

Guest: Nelba Márquez-Greene 

 
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berkeleydivinity.yale.edu/podcast 


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76: Walking with Survivors of Gun Violence with Nelba Márquez-Greene

Cancer treatment is moving toward a more precision-based approach, where therapies are guided not just by the tumor’s location but also by its genetic features. Mutations in cancer cells can point to specific drugs that may be more effective for certain patients. However, detecting these mutations often requires broad and detailed analysis. This is where comprehensive genomic profiling becomes especially important.

One of the main challenges in cancer care is that many existing genetic tools focus on only a limited number of mutations. As a result, some treatment opportunities may be missed. Certain mutations are also difficult to detect because they occur at low levels or exist in complex forms, such as gene fusions. Without advanced screening methods, these changes may go unnoticed.

To address these challenges, researchers from Exact Sciences Corporation conducted a large-scale study using a broad genomic screening approach. The findings were recently published in the journal Oncotarget.

Full blog - https://www.oncotarget.org/2025/12/15/comprehensive-genomic-profiling-in-cancer-insights-from-over-10000-tumors/

Paper DOI - https://doi.org/10.18632/oncotarget.28757

Correspondence to - Jean-Paul De La O - jdelao@exactsciences.com

Abstract video - https://www.youtube.com/watch?v=awiRhDfiMTE

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Keywords - cancer, solid tumors, comprehensive genomic profiling, matched therapy, gene fusions, limit of detection

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Comprehensive Genomic Profiling in Cancer: Insights from Over 10,000 Tumors

BUFFALO, NY — December 16, 2025 — A new #research paper was #published in Aging-US on December 10, 2025, titled “Theobromine is associated with slower epigenetic ageing.”

In this study, led by Ramy Saad from King’s College London and Great Ormond Street Hospital for Children NHS Foundation Trust, alongside Jordana T. Bell from King’s College London, researchers found that higher levels of theobromine, a natural compound found in cocoa, are associated with slower biological aging in humans. The findings suggest that theobromine may support healthy aging.

Epigenetic aging refers to biological changes that affect how genes function over time. It is measured using blood-based markers such as DNA methylation and telomere length, which together provide a more accurate picture of aging than chronological age.

In this work, researchers analyzed data from two large European studies. In 509 women from the TwinsUK cohort, they found that higher blood levels of theobromine were associated with slower aging, especially based on GrimAge, an epigenetic clock that predicts the risk of age-related disease and early death. The results were confirmed in 1,160 men and women from the German KORA study.

“We initially tested for the association between six metabolites found in coffee and cocoa, and epigenetic measures of ageing in blood samples from 509 healthy females from the TwinsUK cohort (median age = 59.8, IQR = 12.81, BMI = 25.35).“

Importantly, theobromine’s effects were independent of related compounds such as caffeine. Even after adjusting for these other substances and different lifestyle factors, the association with slower aging remained strong. The study also associated higher theobromine levels with longer telomeres, another marker of healthy aging.

While theobromine is commonly found in cocoa and chocolate, the study does not suggest increasing chocolate intake. However, it highlights the potential of everyday dietary components such as theobromine to influence aging. These findings support growing evidence that certain plant-based compounds may play a role in promoting long-term health. By identifying a connection between theobromine and slower biological aging, the study opens new directions for research into nutritional strategies for healthy aging.

DOI - https://doi.org/10.18632/aging.206344

Corresponding authors - Ramy Saad - ramy.saad@kcl.ac.uk, and Jordana T. Bell - jordana.bell@kcl.ac.uk

Abstract video - https://www.youtube.com/watch?v=S0P1USM8L6E

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Keywords - aging, theobromine, epigenetic aging, DNA methylation, metabolomics, nutrition

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Theobromine From Cocoa Linked to Slower Biological Aging

Oncotarget is a primarily oncology-focused, peer-reviewed, open access journal. Papers are published continuously within yearly volumes in their final and complete form and then quickly released to Pubmed.

Oncotarget is now indexed by MEDLINE, PubMed and PMC/PubMed.

Read about the Oncotarget Scientific Integrity Process: https://www.oncotarget.com/scientific_integrity/

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Oncotarget Podcast

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