- 1Center for Reproductive Medicine, Shandong University, Jinan, Shandong, China
- 2Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, China
- 3Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- 4Shandong Provincial Clinical Research Center for Reproductive Health, Shandong University, Jinan, Shandong, China
- 5Shandong Technology Innovation Center for Reproductive Health, Shandong University, Jinan, Shandong, China
- 6National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China
- 7Department of Reproductive Medicine, Yinchuan Maternal and Child Health Hospital, Yinchuan, Ning xia, China
- 8Department of Reproductive Surgery, Northwest Women’s and Children’s Hospital, Xi’an, Shanxi, China
- 9Reproductive Medicine Center, Department of Obstetrics and Gynecology, Tang Du Hospital, The Air Force Military Medical University, Xi’an, Shanxi, China
- 10Department of Reproductive Medicine, Yuhuangding Hospital Affiliated to Qingdao University, Yantai, Shandong, China
- 11Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- 12Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
- 13Reproductive Medicine Center, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
- 14Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, Ningxia Medical University, Yinchuan, Ningxia, China
Background: In recent years, the right ratio of 2nd and 4th digit length (2D:4D) is regarded as an anatomical marker of prenatal testosterone exposure. Polycystic ovary syndrome (PCOS) is a female masculinized disease and is determined by prenatal testosterone exposure. Whether the ratio in the right hand of PCOS women is reduced or not compared with non-PCOS women is under debate. To further investigate the relationship between PCOS and digit ratio, we systematically measured all the digit ratios.
Methods: We recruited 34 non-PCOS women, 116 PCOS women, and 40 men and systematically measured all the ratios of digit length (2D:3D, 2D:4D, 2D:5D, 3D:4D, 3D:5D, and 4D:5D) of right hands and left hands.
Results: Left 2D:3D, 2D:4D, and 2D:5D in men were significantly lower than those in non-PCOS women. Significantly lower digit ratios of left 2D:3D and 2D:4D were observed in PCOS compared with non-PCOS women. In the subgroup analysis, the left ratio of digit length in 2D:3D and 2D:5D of the hyperandrogenism subgroup was lower than that of the non-hyperandrogenism subgroup without statistical significance. The logistic regression model of PCOS revealed that 2D:3D, 2D:4D, 2D:5D, and 3D:4D of left hands were statistically related to the diagnosis of PCOS among all the digit ratios.
Conclusion: Not only 2D:4D but also other digit ratios, such as 2D:3D and 2D:5D, are a marker of prenatal testosterone exposure and may be an anatomical marker of PCOS. The majority of these significant differences included left 2D, with the following order: non-PCOS women > PCOS women > men.
Introduction
Digit ratio is an easily measurable anatomical marker of prenatal androgen exposure. The sexually dimorphic phenomenon of the relative ratio of the 2nd digit (2D, the index finger) and the 4th digit (4D, the ring finger) has been found since 1998 (1). That is, the length of 4D is longer in men and the length of 2D is longer in women and the digit ratio of 2D:4D tends to be lower in men. The ratio of 2D:4D is reported to be fixed early in utero and is negatively associated with prenatal testosterone (T) exposure (2, 3). Given the negative relationship between 2D:4D and prenatal T exposure, as well as the important influence of fetal T exposure on human disease, 2D:4D has been regarded as an anthropometric biomarker for abnormal prenatal T exposure in congenital adrenal hyperplasia (2, 4), prostate cancer (5, 6), and so on.
Polycystic ovary syndrome (PCOS) is a female masculinized disease and results from androgen exposure in the gestation stage. PCOS is characterized by oligo-ovulation/anovulation, clinical and/or biochemical hyperandrogenism, and polycystic ovaries detected by ultrasound, accompanied by acne and hirsutism (7). Animal studies revealed that androgen injection during pregnancy tended to have offspring presenting with the endocrine and metabolic phenotype of PCOS (8–10).
Hence, more studies focused on 2D:4D in women with PCOS (11–14), and the results were controversial. Some studies reported a subtle difference in the finger length pattern of women with PCOS, but a few studies found no difference for 2D:4D between PCOS and controls. Besides 2D:4D, other ratios of digit length were reported to present sexual differences in humans (15, 16). However, previous studies related to digit ratio and PCOS were confined to 2D:4D and lacked evidence of other digit ratios in PCOS. We hypothesized that 2D:4D is lower in PCOS and other digit ratios in PCOS are different from non-PCOS.
To test the hypothesis, we systematically investigated all the digit ratios of both left and right hands in non-PCOS women, PCOS women, and the men in this study. Hyperandrogenic (HA) PCOS and non-hyperandrogenic (NHA) PCOS subgroups were also analyzed to identify the potential effects of androgen on digit ratios.
Materials and methods
Sample
There were a total of 190 participants recruited from the reproductive center of General Hospital of Ningxia Medical University, namely, 34 non-PCOS women, 116 PCOS women, and 40 men. The diagnosis criterion was defined according to the 2003 Rotterdam criteria: oligo-ovulation/anovulation, clinical or biochemical hyperandrogenism, and polycystic ovary morphology diagnosed by ultrasound; two of the three items will be diagnosed. Diseases such as androgen-secreting tumors, Cushing’s syndrome, and congenital adrenal hyperplasia, which could cause hyperandrogenism, were the exclusion criteria. Non-PCOS women had normal hormone levels and regular menstrual cycle, who visited the IVF center due to male infertility or oviduct factors. Men from the population who visited the IVF center for normal physical examination or fertility requirements of their families were included; they have no relationship with non-PCOS or PCOS women. PCOS women were divided into a hyperandrogenism (HA) and a non-hyperandrogenism (NHA) group according to the testosterone concentration of 48.1 ng/dl as per the routine value of the hospital.
Ethics statement
This protocol was approved by the Committee of General Hospital of Ningxia Medical University. All subjects had submitted a written informed consent.
Digit ratio collection
The participants were asked to take photos of their right and left hands on the ventral surface using a Sony digital camera. With the help of ACDSee, digit lengths were marked in the line of digit axis: from a point in the proximal finger crease to the most distal point on the fingertip (17). The marked photos were printed and measured by vernier calipers from the photocopies. Given that the distance between camera and hands was not fixed, digit ratios rather than digit length could be included for further analysis. Eight digit lengths (the second, third, fourth, and fifth finger of the left and right hands) were measured at least twice to test the repeatability of the measurement. Based on these parameters, the following ratios of right and left hands were calculated: 2D:3D, 2D:4D, 2D:5D, 3D:4D, 3D:5D, and 4D:5D. The repeatability or intraclass correlation coefficient of digit length and digit ratio was high. The average value of measurements was used for subsequent analysis.
Statistical analysis
Analysis on the differences in the digit ratio among non-PCOS women, PCOS women, and men was conducted. For normal distributed variables, one-way analysis of variance (ANOVA) and least significant difference (LSD) were applied to compare the continuous variables among these groups. The linear trends in the mean digit ratio were evaluated by calculating p-value for trend. For non-normal data, non-parametric Mann–Whitney U test and Kruskal–Wallis H test were used for comparison purposes. The p-values for difference and trend of digit ratio were adjusted by age. A logistic regression model was used to select the important variables with PCOS as the dependent variable and 12 digit ratios as the independent variable. All the digit ratios were input in the model with “ENTER”. All the figures were plotted on the Hiplot website (https://hiplot-academic.com/). All the statistical analyses were performed with the SPSS version 26.0. Statistical significance was defined as a two-sided p-value of less than 0.05, and variables were recorded as mean ± SD.
Results
The differences in digit ratios between non-PCOS women and men
The baseline information of the study participants is shown in Table 1. There was no difference for age and BMI between non-PCOS women and men. The levels of lutein hormone (LH), follicle-stimulating hormone (FSH), and total testosterone (TT) of men were higher than those of non-PCOS women, and the estradiol (E2) concentration was lower in men.
The average of digit ratios is shown in Table 2 and Figure 1. In general, these digit ratios are listed in order of size: 3D:5D>4D:5D>2D:5D>3D:4D>2D:4D>2D:3D. In the left hands, 2D:3D (p = 0.003), 2D:4D (p<0.001), and 2D:5D (p = 0.007) of non-PCOS women are higher than those of men, indicating the sexual dimorphism of the digit ratios. The other digit ratios showed no difference between men and women.
Figure 1 Violin plot shows the mean digit ratio of non-PCOS women, PCOS women, and men (adjusted by age). (A–F) The different digit ratios in left hands. (G–L) The different digit ratios in right hands. p-values were calculated by LSD. * means p<0.05 and ** means p<0.01.
The differences in digit ratios among non-PCOS and PCOS women
The baseline information of the study participants is shown in Table 1. The age of PCOS women was lower than that of non-PCOS women (27.47 ± 4.27 in PCOS women, 29.79 ± 0.81 in non-PCOS women). The average BMI of the PCOS group (24.94 ± 4.03) was higher than that of the non-PCOS group (22.73 ± 0.56). In addition, the endocrine parameters LH and TT concentration and follicle number per ovary of PCOS women were significantly higher than those of non-PCOS women, which were consistent with the endocrine characteristics of PCOS.
Given that PCOS was a female masculinization disease, we compared the digit ratios between non-PCOS and PCOS women. The average of digit ratios is revealed in Table 2 and Figure 1. Generally, left 2D:3D (p = 0.003), 2D:4D (p<0.001), and 2D:5D (p = 0.007) presented a significantly reduced trend among non-PCOS women, PCOS women, and men (Table 2). The left 2D:3D (p = 0.033) and 2D:4D (p = 0.043) ratios of PCOS women were significantly lower than those of non-PCOS women. As for the right hands, no significant difference was found.
The differences in digit ratios in hyperandrogenic subtypes of PCOS
To further investigate whether the difference in digit ratio was caused by the androgen level, we then divided PCOS women into an HA and an NHA group (Table 3). Women with NHA PCOS had an older age than those with HA-PCOS (p = 0.043), and BMI is similar between NHA and HA PCOS. The hormonal level (LH, E2, and TT) in NHA-PCOS is lower than that in HA-PCOS.
The average of digit ratio is listed in Table 4. Overall, 2D:3D, 2D:4D, and 2D:5D of left hands maintained a downward trend (p = 0.002, p = 0.001, and p = 0.010), in which both 2D:3D and 2D:5D in HA-PCOS were lower than those in NHA-PCOS without statistical significance (Figure 2). However, the left 2D:4D ratio in HA-PCOS was higher than that in NHA-PCOS.
Figure 2 Violin plot shows the mean digit ratio of non-PCOS women, NHA-PCOS women, HA-PCOS, and men (adjusted by age). (A–F) The different digit ratios in left hands. (G–L) The different digit ratios in right hands. p-values were calculated by LSD. * means p<0.05 and ** means p<0.01.
Predictors of PCOS using regression models of digit ratios
Based on the above findings, a logistic regression model was constructed to investigate the potential of digit ratio as an anatomical marker in PCOS. The results revealed that 2D:3D (p = 0.013), 2D:4D (p = 0.006), 2D:5D (p = 0.025), and 3D:4D (p = 0.013) of left hands were statistically significant in the constructed model (Table 5), indicating their crucial effect on the development of PCOS and the possibility of them being effective markers for PCOS.
In summary, our results emphasized the significance of left 2D:3D and left 2D:4D, both of which presented a reduced tendency among different populations, that is, non-PCOS women>PCOS women>men.
Discussion
In this study, we demonstrated that left 2D:3D, 2D:4D, and 2D:5D showed sexual dimorphism; both 2D:3D and 2D:4D of left hands in PCOS women were statistically lower than those in non-PCOS women, and both 2D:3D and 2D:5D of left hands in HA-PCOS were lower than those in NHA-PCOS without statistical significance by systematical measurement of all the digit ratios. The logistic regression model revealed that 2D:3D, 2D:4D, 2D:5D, and 3D:4D of left hands were statistically related to the diagnosis of PCOS. Our results indicated that, apart from 2D:4D, other digit ratios, such as 2D:3D and 2D:5D, might be an anatomical marker of PCOS. It is worth mentioning that all of the significant digit ratios involved left 2D.
There was a decreased trend of several digit ratios among three groups, in which left digit ratios were significantly distinct in these groups. The decreased trend pointed out that the digit ratios of PCOS women were lower than those of non-PCOS women and higher than those of men, especially for ratios that included left 2D. Firstly, significant sexual dimorphism was also observed in the left 2D:3D, 2D:4D, and 2D:5D. A similar pattern has been observed in previous studies (15, 18), suggesting that sexual dimorphism of digit ratio not only was confined to 2D:4D, but also included 2D:3D and 2D:5D. Secondly, digit ratios (2D:4D of left hands) in PCOS women were lower than those in non-PCOS women, which was consistent with previous studies (11, 14). Moreover, PCOS was reported to be associated with delayed menarche (19, 20), and individuals with delayed menarche had lower 2D:4D (21). Lujan et al. found no difference in 2D:4D between PCOS and controls, which was the opposite of our conclusion (12, 13). The inconsistency might result from the large difference in BMI between the two groups, and they analyzed the digit ratio without adjusting BMI. In our study, there was no significant link between digit ratio and BMI. Consequently, our data analysis was not adjusted by BMI. In addition, the statistical significance of 2D:4D remained even after adjusting BMI. The second reason for these inconsistent results can be explained by ethnicity difference in 2D:4D, which has been reported in a number of studies (5, 22, 23). Thirdly, there was a higher difference in left hands than in right hands, which was opposite from the typical conclusion that right 2D:4D is the significantly different digit ratio between men and women. The inconsistent results is common in a Chinese population; for example, the left-hand 2D:4D tended to be closely associated with the corresponding disease in the study of schizophrenia (24), neuroticism (25), and breast cancer (26). It has been reported that the prevalence of left-handedness was lower in Asia due to biological or cultural factors (27, 28). Besides that, previous studies confirmed that left-handedness was linked to low R2D:4D and high L2D:4D in the same individual (29). Richards et al. speculated that gripping pens and pencils in writing led to the association between handedness and digit ratio (30). We hypothesized that the higher significance in left hands might result from the change for the size of right hands due to the long-time use in China: the right hand of right-handedness has been reported to be larger than the left (31, 32).
To further investigate the prenatal androgen effect on the digit ratio in PCOS cases, we divided PCOS into an HA and an NHA subgroup. We hypothesized that the severe subtype of PCOS (HA-PCOS) tends to expose more fetal T and has a masculinized digit ratio. Consistent with the hypothesis, the digit ratio of left 2D:3D and 2D:5D presented a decreased tendency from non-PCOS women to NHA-PCOS women to HA-PCOS women. However, the left 2D:4D ratio in the HA-PCOS subgroup was higher than that in the NHA-PCOS subgroup, which may result from the higher estradiol concentration in HA-PCOS. Manning et al. reported that the 2D:4D ratio in women was positively related with estradiol (1), and the amnionic study illustrated that the 2D:4D ratio was positively associated with the ratio of fetal testosterone and fetal estradiol (3), suggesting that the estradiol concentration had an influence on the 2D:4D ratio. Therefore, 2D:4D might not be a good marker for identifying NHA and HA-PCOS, whereas left 2D:3D and 2D:5D may or may not be an anatomical marker for hyperandrogenism, which needs further investigation using large cohort studies.
Based on the above results, a logistic regression model with all the digit ratios forced simultaneously into the model was constructed to explore the significance of digit ratio in PCOS identification. Strikingly, the left 2D:3D, 2D:4D, 2D:5D, and 3D:4D ratios were significant in the model, which re-emphasized that left digit ratios were better than right digit ratios and that not only 2D:4D but also 2D:3D, 2D:5D, and 3D:4D represented the prenatal androgen exposure. Moreover, the 2D:3D, 2D:4D, and 2D:5D ratios shared the index finger, indicating that the second digit length tended to be shorter with more androgen exposure. 2D:4D and 3D:4D shared the ring finger, suggesting that the fourth digit length tended to be longer with testosterone exposure. Similarly, the nonhuman study of rats and rhesus monkeys exposed to testosterone in early-to-mid gestation presented masculinized 2D length and a PCOS-like phenotype (33) (34). Zheng and Cohn (35) and Manning (36) have reported the potential mechanism that both Androgen receptor (AR) and estrogen receptor involved the development of finger length in mice and androgen excess acted on AR in 4D to increase the length.
The major strength of this study was the systematical measurement of all digit ratios and the fact that it presented an intact pattern of all digit ratios in non-PCOS women, PCOS women, and men, providing more striking evidence for the digit ratio as a marker of prenatal testosterone. We also acknowledged that there were some limitations in our study. We hypothesized that left-hand 2D:4D might be a more effective marker for a Chinese PCOS population without direct evidence for validation.In conclusion, we revealed that left digit ratios might be a better marker of prenatal androgen exposure than right digit ratios in China and provided insight into the anatomical evidence of prenatal androgen exposure in PCOS. In addition to 2D:4D, significant sexual dimorphism was observed in 2D:3D and 2D:5D. 2D:3D, 2D:4D, 2D:5D, and 3D:4D were statistically significant in the logistic model of PCOS, and the first three items were masculinized in PCOS; that is, these digit ratios were lower than non-PCOS. More detailed analysis revealed no significant difference between the NHA and HA PCOS subgroups. These results suggested the significance of the digit left 2D. We found the magnitude of the left 2D:3D and 2D:4D ratios to be non-PCOS women>PCOS women>men.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by KYLL-2021-1070. The patients/participants provided their written informed consent to participate in this study.
Author contributions
All authors contributed to the study conception and design. Study design: XY. Photocopies collection: AZ and YL. Point marker on the photocopies: ZY and YW. Digit-length measurement: LL and WL. Digit-length remeasurement: DL and FL. Formal analysis: JD and FC. Data analysis: XY. Writing—original draft preparation: XY. Writing—review and editing: XY and XG. Supervision: XG and JZ. All authors contributed to the article and approved the submitted version.
Funding
This study was supported by the National Key Research and Development Program of China (2021YFC2700400 and 2021YFC2700701), the Basic Science Center Program of NSFC (31988101), the National Natural Science Foundation of China (82192874, 82071606, 82101707, and 81060051), the Shandong Provincial Key Research and Development Program (2020ZLYS02), the Taishan Scholars Program of Shandong Province (ts20190988), and the Fundamental Research Funds of Shandong University and the Natural Science Foundation of Ningxia Province (NZ11267). The authors declare that they have no competing interests.
Acknowledgments
The authors would like to acknowledge Han Zhao for their invaluable help in the article. The authors also thank every member in the reproductive center of the General Hospital of Ningxia Medical University for their help in the collection of digit length and thank all the participants who consented to enroll in this study.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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References
1. Manning JT, Scutt D, Wilson J, Lewis-Jones DI. The ratio of 2nd to 4th digit length: a predictor of sperm numbers and concentrations of testosterone, luteinizing hormone and oestrogen. Hum Reprod (Oxford England) (1998) 13:3000–4. doi: 10.1093/humrep/13.11.3000
2. Brown WM, Hines M, Fane BA, Breedlove SM. Masculinized finger length patterns in human males and females with congenital adrenal hyperplasia. Hormones Behav (2002) 42:380–6. doi: 10.1006/hbeh.2002.1830
3. Lutchmaya S, Baron-Cohen S, Raggatt P, Knickmeyer R, Manning JT. 2nd to 4th digit ratios, fetal testosterone and estradiol. Early Hum Dev (2004) 77:23–8. doi: 10.1016/j.earlhumdev.2003.12.002
4. Richards G, Browne WV, Aydin E, Constantinescu M, Nave G, Kim MS, et al. Digit ratio (2D:4D) and congenital adrenal hyperplasia (CAH): systematic literature review and meta-analysis. Hormones Behav (2020) 126:104867. doi: 10.1016/j.yhbeh.2020.104867
5. Waters M, Rebholz CM, Wood B, Kuske A, Mcintyre M, Sartor O. Second to fourth digit ratio and prostate cancer severity. Prostate Cancer Prostatic Dis (2013) 16:107–10. doi: 10.1038/pcan.2012.46
6. Mendes PHC, Martelli DRB, De Melo Costa S, Gonçalves E, Macedo CP, Silveira MF, et al. Comparison of digit ratio (2D:4D) between Brazilian men with and without prostate cancer. Prostate Cancer Prostatic Dis (2016) 19:107–10. doi: 10.1038/pcan.2015.62
7. Yang R, Li Q, Zhou Z, Qian W, Zhang J, Wu Z, et al. Changes in the prevalence of polycystic ovary syndrome in China over the past decade. Lancet Regional Health Western Pacific (2022) 25:100494. doi: 10.1016/j.lanwpc.2022.100494
8. Mcgee WK, Bishop CV, Bahar A, Pohl CR, Chang RJ, Marshall JC, et al. Elevated androgens during puberty in female rhesus monkeys lead to increased neuronal drive to the reproductive axis: a possible component of polycystic ovary syndrome. Hum Reprod (Oxford England) (2012) 27:531–40. doi: 10.1093/humrep/der393
9. Puttabyatappa M, Cardoso RC, Padmanabhan V. Effect of maternal PCOS and PCOS-like phenotype on the offspring's health. Mol Cell Endocrinol (2016) 435:29–39. doi: 10.1016/j.mce.2015.11.030
10. Abbott DH, Rayome BH, Dumesic DA, Lewis KC, Edwards AK, Wallen K, et al. Clustering of PCOS-like traits in naturally hyperandrogenic female rhesus monkeys. Hum Reprod (Oxford England) (2017) 32:923–36. doi: 10.1093/humrep/dex036
11. Cattrall FR, Vollenhoven BJ, Weston GC. Anatomical evidence for in utero androgen exposure in women with polycystic ovary syndrome. Fertil Steril (2005) 84:1689–92. doi: 10.1016/j.fertnstert.2005.05.061
12. Lujan ME, Bloski TG, Chizen DR, Lehotay DC, Pierson RA. Digit ratios do not serve as anatomical evidence of prenatal androgen exposure in clinical phenotypes of polycystic ovary syndrome. Hum Reprod (Oxford England) (2010) 25:204–11. doi: 10.1093/humrep/dep363
13. Lujan ME, Podolski AJ, Chizen DR, Lehotay DC, Pierson RA. Digit ratios by computer-assisted analysis confirm lack of anatomical evidence of prenatal androgen exposure in clinical phenotypes of polycystic ovary syndrome. Reprod Biol Endocrinol RB&E (2010) 8:156. doi: 10.1186/1477-7827-8-156
14. Deepika V, Preethy P. Evaluation of body fat composition and digit ratio (2D:4D) in polycystic ovary syndrome in adolescents. Curr Health Sci J (2021) 47:433–7. doi: 10.12865/CHSJ.47.03.15
15. Manning JT, Callow M, Bundred PE. Finger and toe ratios in humans and mice: implications for the aetiology of diseases influenced by HOX genes. Med Hypotheses (2003) 60:340–3. doi: 10.1016/S0306-9877(02)00400-0
16. Kasielska-Trojan A, Manning JT, Jabłkowski M, Białkowska-Warzecha J, Hirschberg AL, Antoszewski B. Digit ratios and their asymmetries as risk factors of developmental instability and hospitalization for COVID-19. Sci Rep (2022) 12:4573. doi: 10.1038/s41598-022-08646-7
17. Kasielska-Trojan A, Antoszewski B. Can digit ratio (2D:4D) studies be helpful in explaining the aetiology of idiopathic gynecomastia? Early Hum Dev (2015) 91:57–61. doi: 10.1016/j.earlhumdev.2014.12.001
18. Mcfadden D, Shubel E. Relative lengths of fingers and toes in human males and females. Hormones Behav (2002) 42:492–500. doi: 10.1006/hbeh.2002.1833
19. Manning JT, Fink B. Is low digit ratio linked with late menarche? evidence from the BBC internet study. Am J Hum Biolog (2011) 23:527–33. doi: 10.1002/ajhb.21186
20. Li J, Eriksson M, Czene K, Hall P, Rodriguez-Wallberg KA. Common diseases as determinants of menopausal age. Hum Reprod (Oxford England) (2016) 31:2856–64. doi: 10.1093/humrep/dew264
21. Matchock RL. Low digit ratio (2D:4D) is associated with delayed menarche. Am J Hum (2008) 20:487–9. doi: 10.1002/ajhb.20763
22. Manning JT, Stewart A, Bundred PE, Trivers RL. Sex and ethnic differences in 2nd to 4th digit ratio of children. Early Hum Dev (2004) 80:161–8. doi: 10.1016/j.earlhumdev.2004.06.004
23. Manning JT, Churchill AJG, Peters M. The effects of sex, ethnicity, and sexual orientation on self-measured digit ratio (2D:4D). Arch Sexual Behav (2007) 36:223–33. doi: 10.1007/s10508-007-9171-6
24. Qian W, Huo Z, Lu H, Sheng Y, Geng Z, Ma Z. Digit ratio (2D:4D) in a Chinese population with schizophrenia. Early Hum Dev (2016) 98:45–8. doi: 10.1016/j.earlhumdev.2016.05.003
25. Sindermann C, Li M, Sariyska R, Lachmann B, Duke É, Cooper A, et al. The 2D:4D-ratio and neuroticism revisited: empirical evidence from Germany and China. Front In Psychol (2016) 7:811. doi: 10.3389/fpsyg.2016.00811
26. Hong L, Zhan-Bing M, Zhi-Yun S, Xiao-Xia S, Jun-Li Z, Zheng-Hao H. Digit ratio (2D:4D) in Chinese women with breast cancer. Am J Hum Biol (2014) 26:562–4. doi: 10.1002/ajhb.22546
27. Kushner HI. Why are there (almost) no left-handers in China? Endeavour (2013) 37:71–81. doi: 10.1016/j.endeavour.2012.12.003
28. Zheng M, Mcbride C, Ho CS-H, Chan JK-C, Choy KW, Paracchini S. Prevalence and heritability of handedness in a Hong Kong Chinese twin and singleton sample. BMC Psychol (2020) 8:37. doi: 10.1186/s40359-020-00401-9
29. Manning JT, Peters M. Digit ratio (2D:4D) and hand preference for writing in the BBC Internet study. Laterality (2009) 14:528–40. doi: 10.1080/13576500802637872
30. Richards G, Medland SE, Beaton AA. Digit ratio (2D:4D) and handedness: a meta-analysis of the available literature. Laterality (2021) 26:421–84. doi: 10.1080/1357650X.2020.1862141
31. Means LW, Walters RE. Sex, handedness and asymmetry of hand and foot length. Neuropsychologia (1982) 20:715–9. doi: 10.1016/0028-3932(82)90073-2
32. Purves D, White LE, Andrews TJ. Manual asymmetry and handedness. Proc Natl Acad Sci United States America (1994) 91:5030–2. doi: 10.1073/pnas.91.11.5030
33. Talarovicová A, Krsková L, Blazeková J. Testosterone enhancement during pregnancy influences the 2D:4D ratio and open field motor activity of rat siblings in adulthood. Hormones Behav (2009) 55:235–9. doi: 10.1016/j.yhbeh.2008.10.010
34. Abbott AD, Colman RJ, Tiefenthaler R, Dumesic DA, Abbott DH. Early-to-mid gestation fetal testosterone increases right hand 2D:4D finger length ratio in polycystic ovary syndrome-like monkeys. PloS One (2012) 7:e42372. doi: 10.1371/journal.pone.0042372
35. Zheng Z, Cohn MJ. Developmental basis of sexually dimorphic digit ratios. Proc Natl Acad Sci United States America (2011) 108:16289–94. doi: 10.1073/pnas.1108312108
Keywords: polycystic ovary syndrome, digit ratio, prenatal androgen exposure, hyperandrogenism, anatomical marker, sexual dimorphism
Citation: Yan X, Zhu A, Li Y, Yang Z, Wang Y, Liu L, Liu W, Liu D, Li F, Du J, Cheng F, Gao X and Zhao J (2023) Systematical assessment of digit ratio in a female masculinization disease: polycystic ovary syndrome. Front. Endocrinol. 14:1146124. doi: 10.3389/fendo.2023.1146124
Received: 17 January 2023; Accepted: 30 March 2023;
Published: 08 May 2023.
Edited by:
Kabirullah Lutfy, Western University of Health Sciences, United StatesReviewed by:
Ye Tian, Tianjin Medical University General Hospital, ChinaJohn Thomas Manning, Swansea University, United Kingdom
Copyright © 2023 Yan, Zhu, Li, Yang, Wang, Liu, Liu, Liu, Li, Du, Cheng, Gao and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xueying Gao, gaoxueyingzye@126.com; Junli Zhao, zhaojunli6812@163.com