Monday, May 04, 2026

Fertility Decline So Fast? The Key Is the Ovary

https://www.ucsf.edu/news/2025/10/430841/why-does-female-fertility-decline-so-fast-key-ovary

Why Does Female 


Fertility Decline So Fast? The Key Is the Ovary

With a new imaging technique, scientists discover an ecosystem that determines how eggs mature and ovaries age.

By Sarah C.P. Williams

The ticking of the biological clock is especially loud in the ovaries — the organs that store and release a woman’s eggs. From age 25 to 40, a woman’s chance of conceiving each month decreases drastically.

For decades, scientists have pointed to declining egg quality as the main culprit. But new research from UC San Francisco and Chan Zuckerberg Biohub San Francisco shows that the story is bigger than the eggs: The surrounding cells and tissues of the ovary play a crucial role in how eggs mature and how quickly fertility wanes. The work is supported by the National Institutes of Health (NIH).

... Ovarian aging is not just about the egg cells but about their whole ecosystem.

Diana Laird, PhD

“We’ve long thought of ovarian aging as simply a problem of egg quality and quantity,” said Diana Laird, PhD, professor of Obstetrics, Gynecology & Reproductive Sciences at UCSF and senior author of the study, which appears in Science on Oct. 9. “What we’ve shown is that the environment around the eggs — the supporting cells, nerves, and connective tissue — is also changing with age.”

Understanding these changes may hold the key not only to extending fertility, but also to improving health. The risks of many age-related diseases rise after menopause or ovary removal, and slowing ovarian aging could help reduce these risks.

“By combining the Laird lab’s cutting-edge imaging with the Biohub’s expertise in two kinds of single-cell sequencing, we were able to understand the ovary in unprecedented detail,” said Norma Neff, PhD, director of the Genomics Platform at the San Francisco Biohub, who collaborated with Laird on the work. “This technology-driven approach let us uncover new cell types, providing a foundation for future discoveries in reproductive health.”

The number of eggs (green) decline with age. Growing eggs are shown in magenta. At left is a 2-month-old mouse. At right is a 12-month-old mouse. Images by Gaylord, et al.

Image
A microscopic image of a mouse ovary at 2 months, showing a large presence of eggs.
Image
A microscopic image of a mouse ovary at 12 months, showing that the amount of eggs has decreased.


It takes an entire ecosystem to raise an egg

Laird and her colleagues set out to profile what normal aging looks like in the ovaries of mice and humans. First, they developed a new three-dimensional imaging technique that allowed them to visualize eggs in the ovaries without having to slice the organs into thin layers, as had been done before.

In mice that were the equivalent of 30 to 40 human years, they observed a dramatic drop in both immature resting eggs that are waiting in reserve and in growing eggs that are beginning to mature for ovulation. And just like women in their 30s, the mice did not conceive easily with in vitro fertilization (IVF).

When the scientists extended their 3D imaging to human ovaries, they uncovered an unexpected finding: Eggs are not evenly scattered throughout the ovary. Instead, they cluster in “pockets” surrounded by egg-free zones. With age, the density of eggs within these pockets declines.

“This was a surprise. We assumed eggs would be distributed more evenly based on what we see in the developing ovary,” said Laird, who is a Biohub investigator and a member of the Eli and Edythe Broad Center of Regeneration Medicine at UCSF. “These pockets suggest that even within one ovary, the environment around an egg may influence how long it lasts and how well it matures.”

A 3D view of a whole mouse ovary, with every egg marked in green and the growing egg follicles in magenta.


New role for the nervous system in ovarian health

Next, the researchers teamed up with Neff’s group at the Biohub to study what genes were active in ovary cells as they aged. Ovarian tissue from humans is hard to come by, and eggs are large and incredibly fragile. So, instead of using standard miniature devices that separate and tag cells to sequence their active genes, the group painstakingly isolated individual eggs by hand to separate them from other cells.

After studying nearly 100,000 mouse and human cells, they identified 11 major cell types found in the ovaries, including one surprise: Glia, a type of support cell typically associated with nerves and most extensively studied in the brain, were in the ovaries.

At the same time, the study revealed that sympathetic nerves — the same nerves involved in the “fight or flight” response — form dense networks in ovaries that become even more dense with age. When the researchers ablated these nerves in mice, the animals had more eggs in reserve but fewer that matured, suggesting the nerves help decide when eggs start growing. Together, the observations on glia and sympathetic nerves suggest a new role for the nervous system in ovarian health.

A human ovary at age 23 (left) and age 55 (right). Sympathetic nerves, involved in the “fight or flight” response, are shown in white and increase with age. Images by Gaylord, et al.

Image
A microscopic image showing few sympathetic nerves in an ovary at 23 years of age.
Image
A microscopic image showing a larger presence of dense sympathetic nerve cells in an ovary at age 55.

Other support cells called fibroblasts also changed with age, triggering inflammation and scarring in the ovaries of women in their 50s — years earlier than such scarring appears in organs like the lungs or liver.

“This all points to a brand-new line of inquiry about how nerves, blood vessels, and other cell types communicate with eggs,” Laird said. “It tells us that ovarian aging is not just about the egg cells but about their whole ecosystem.”

Implications for fertility and beyond

For researchers, one of the most important takeaways of the new work is the similarity between human and mouse ovaries.

“Until now, it was somewhat unclear whether we could use mice as a model for humans when it comes to the ovaries — we have quite different reproductive windows,” Laird said. “But the similarities we saw in this study make us confident that we can move forward in mice and apply those lessons to humans.”

In addition, the new roadmap of healthy ovaries over time offers a starting place to ask how ovarian aging changes in different situations. Laird’s team is already launching studies probing whether some drugs could change the timing or speed of ovarian aging, she said. Ultimately, they hope to uncover ways to slow or delay ovarian aging, to impact both fertility and other diseases, like cardiovascular disease, which are common in women after menopause.

“The fountain of youth may actually be the ovary,” said Eliza Gaylord PhD, a postdoctoral fellow at UCSF who is co-first author of the study. “Delaying ovarian aging could promote healthier aging overall.”

Authors: Other authors of the study are Mariko H. Foecke, PhD, Ryan M. Samuel, PhD, Tara I. McIntyre, PhD, Juan Du, James M. Gardner, MD, PhD, and Faranak Fattahi, PhD, of UCSF; Angela M. Detweiler, Leah C. Dorman, Michael Borja, and Ritwicq Arjyal of Chan Zuckerberg Biohub San Francisco; Bikem Soygur, PhD, of the Buck Institute for Aging; and Amy E. Laird, PhD, of Oregon Health and Science University.

Funding: This work was funded by the National Institutes of Health (1F31HD108875, 1F31HD110208, 1R01GM122902, 1R01ES023297, P30ES030284), a UCSF Discovery Fellowship, a Hillblom/BARI Graduate Student Fellowship Award, CZ Biohub Investigator funds, The Global Consortium for Reproductive Health through the Bia-Echo Foundation (GCRLE-0123), the W.M. Keck Foundation, the Simons Foundation International, the Juno Fund, and individual donors including Mary Linda Laird, Robert and Mary Laird, and Nikki J. Zapol.

The observations on glia and sympathetic nerves suggest a new role for the nervous system in ovarian health

Editor’s summary

Mice are frequently used in biomedical research as a model of human biology and disease, but there are many differences between the two, and it is helpful to know what exactly those differences are when interpreting data from mouse models of disease. An atlas of ovarian aging compiled by Gaylord et al. facilitates this task and provides insights into both species by characterizing transcriptomic changes and physical structure and function of the ovaries at different ages and life stages. In addition to providing a resource with side-by-side species comparisons, the authors also identified neurons and glia within the ovaries and examined their role in folliculogenesis in mice, which may be relevant for human fertility as well. —Yevgeniya Nusinovich

Structured Abstract

INTRODUCTION

The ovary governs fertility and reproductive aging by coordinating interactions between germline and somatic cells. In mammals, oocytes are formed before birth and do not renew; their decrease through ovulation and cell death determines the onset of menopause. Ovarian function declines long before age-related degeneration of all other organs, with pregnancy at 35 clinically considered “geriatric.” Improved understanding of ovarian biology and hallmarks of ovarian aging is needed to devise therapies for prolonging fertility and delaying menopause.

RATIONALE

Laboratory mice share many reproductive features with humans and are widely used to study ovarian biology. However, their utility is limited by incomplete understanding of how cellular composition and molecular programs compare with those of human ovaries, especially during aging.

RESULTS

We performed a multimodal analysis of human and C57BL6/J mouse ovaries at young and advanced reproductive ages. We combined three-dimensional tissue imaging, single-cell RNA sequencing (scRNA-seq), and functional assays to define shared and species-specific features of oocyte follicle distribution, follicle growth and maturation, cellular composition and signaling, and age-associated changes.
High-resolution imaging of optically cleared intact mouse ovaries and human ovary fragments revealed discrete cortical “pockets” of human oocytes that shrink with age. Follicle density decreased with age in both species, and early decline of secondary-stage follicles in mice suggests vulnerability specific to stages of growth. scRNA-seq captured all major ovarian cell types and revealed both conserved and species-specific subtypes. Mature oocytes from both species shared enriched pathways, whereas immature oocytes diverged more substantially. Aging altered the transcriptome of oocytes in humans and mice more compared with that of surrounding granulosa cells, although early-stage oocytes were more changed in mice, and late-stage oocytes were more changed in humans.
Subtype analysis revealed that granulosa, fibroblast, and endothelial cells shared conserved transcriptional programs, whereas species-specific subtypes emerged in theca, pericyte, and epithelial compartments. Ovarian glial cells were identified in both species, frequently in association with sympathetic nerves. Innervation was implicated in the growth of follicles by genetically ablating sympathetic nerves in mice, and pericytes were shown as the major source of nerve growth factor. Networks of ovarian nerves became more dense with age in mouse and human samples. In ovarian fibroblasts, age-related transcriptional changes included down-regulation of collagen genes, despite increased deposition of collagen protein in aged human ovaries, suggesting a conserved compensatory mechanism for fibrosis.
Functionally, the competence and developmental potential of mouse oocytes declined markedly by 9 months of age, recapitulating the age dependence of human in vitro fertilization. Intercellular signaling between oocytes, granulosa, and theca cells was altered with age, revealing species-shared and -specific changes in pathways regulating oocyte support and maturation.

CONCLUSION

This work provides a comprehensive reference of ovarian aging across mouse and human populations, revealing conserved cellular specialization, including sympathetic nerves and glia, alongside species-specific dynamics of follicle depletion, oocyte maturation, and stromal remodeling. Our findings enhance the interpretability of mouse models for human reproductive aging and establish a foundational resource for cross-species analysis of ovarian function and decline.



Wednesday, April 22, 2026

貓に小判

言葉: 貓に小判
仮名 : ねこにこばん
ローマ音: ne ko ni ko ba n
中文意味:
直譯: 給貓金幣
延伸意思: 對牛彈琴(把貴重物品給不識貨的人)
現代使用例句:
「この古典文學のすばらしさを彼に解説しても、彼は全然関心を示さない。貓に小判だよ。」
中文翻譯:跟他講解這部古典文學有多好,他也完全不感興趣。簡直就是對牛彈琴。
來源:
「小判」是江戶時代實際流通的金幣,非常貴重
貓作為一種家喻戶曉的動物,在當時人們眼中具有獨立性強、不輕易為人所動、對人類重視的金錢等物毫無概念的特點。將貴重的金幣給貓,貓既不會感激,也不會妥善利用。
這條諺語在江戶時代中期的文獻中已有記載,如「貓に小判を見せたよう」的說法,後來逐漸簡化為「貓に小判」。它也被收錄進江戶時代的一種歌牌「上方いろはかるた」,得以廣泛傳播。
https://www.facebook.com/share/p/1AYPutqySb/

Tuesday, March 03, 2026

鰻苗捕撈漁期結束 全台捕撈量估約3500公斤 漁期結束收盤價每尾8元

不如預期!鰻苗捕撈漁期結束 全台捕撈量估約3500公斤

蔡宗勳
台灣鰻苗捕撈漁期結束,全台捕撈量估約3500公斤。(資料照,記者蔡宗勳攝)
台灣鰻苗捕撈漁期結束,全台捕撈量估約3500公斤。(資料照,記者蔡宗勳攝)

〔記者蔡宗勳/嘉義報導〕台灣鰻苗捕撈漁期已於2月28日結束,嘉義縣政府農業處宣布,依「鰻苗捕撈漁期管制規定」距岸3浬內海域、潮間帶及河口水域,自3月1日起至10月31日止為期8個月禁捕期,禁止捕撈鰻苗,讓鰻苗得以成長繁衍下一代,永續鰻魚資源,請從事捕撈鰻苗者務必配合。

上季台灣、日本、韓國與中國等東亞四國鰻苗捕撈量創下10年來新高,光中國就捕獲9萬7000公斤,日本也有2萬1000公斤,韓國9000公斤,最少的台灣也有6300公斤。本季截至目前為止,中國已有2萬8950公斤左右,日本約4400公斤,台灣則在2月28日以約3500公斤結束鰻苗捕撈漁期。嘉義沿海本季捕獲量為315公斤,雖優於往年平均值,但因價格偏低,漁民靠鰻金賺年終獎金的希望落空。

受到上季大豐收的影響,目前台灣、日本、韓國與中國等東亞四國養殖成鰻在池量仍居高不下,致台灣這季開盤就只有每尾22元的低迷水準,之後由於去年11、12月的捕獲量寥寥無幾,價格略有浮動,去年12月25日出現每尾24元的本季最高價,但今年1月中旬衝出大量後,隨即在1月20日跌至每尾5元的最低價,最終漁期結束收盤價則是每尾8元。


Thursday, January 29, 2026

從200元跌到5元! 鰻苗價"斷崖式雪崩"

從200元跌到5元! 鰻苗價"斷崖式雪崩"漁民苦嘆

民視影音

中部中心/李文華 彰化報導

每年入冬之後,彰化漁民都會到出海口捕鰻苗,爭搶"海上白金"!但是,今年鰻苗價格卻雪崩式下跌,每尾只剩5至6元,漁民甚至直言,這是30年來最慘!原本被視為"年終獎金"的鰻苗季,今年幾乎化為烏有,主要原因,是無奈日本市場被中國搶走!

從200元跌到5元! 鰻苗價「斷崖式雪崩」漁民嘆
從200元跌到5元! 鰻苗價「斷崖式雪崩」漁民嘆

鰻魚農嘆恐無年終獎金。大火烤出焦香,再刷上獨門醬料,吃鰻魚三步,先趁熱品嚐,也加點蔥花和山葵,最後淋上柴魚高湯,變成湯泡飯!

鰻魚他幼小時,又叫做"玻璃鰻",你見過本尊嗎?像這樣渾身透明,在水中拼命游動,每一條魚身上,黑亮亮的兩隻小眼睛。漁民回憶,補抓鰻苗大約10年前,行情最熱時,一尾鰻苗最高甚至超過200元,但是短短10年間,魚苗價格一路探底!養殖戶認為,鰻苗價格崩跌,也與日本方,因為今年氣候寒冷,停止養殖,需求瞬間消失有關。另外,中國養殖量大,外銷還享有大約17%補貼優惠,價格具優勢,搶走日本等買家!

廣告
從200元跌到5元! 鰻苗價「斷崖式雪崩」漁民嘆
從200元跌到5元! 鰻苗價「斷崖式雪崩」漁民嘆

鰻魚農嘆恐無年終獎金。鰻苗捕撈作業,屬於高風險、短期收入,本來想賺個年終獎金,現在價格這麼低,難道要他們不要抓,早點休息嗎?國際競爭情勢,我們無法掌握,鰻農認為當務之急,是先撐起內銷市場,靠國人吃爆鰻魚美食,期望重振台灣"養鰻王國"名號。