Diabetic retinopathy(DR)has emerged as the leading cause of vision loss among working-age people in many countries under the increasing prevalence of diabetes and the longevity of the population. The pathogenesis of DR is complicated and has not been fully elucidated at present, while the treatment methods of DR have not been greatly improved, mainly retinal laser photocoagulation, anti-vascular endothelial growth factor(VEGF)treatment and vitrectomy surgery. The current treatment methods not only have shortcomings, but also bring serious economic burden to patients. Therefore, new methods are needed to explore the pathogenesis of DR, discover new treatments or improve current treatments, and improve the satisfaction of DR patients. In recent years, the identification and quantification of proteins expressed in blood, retina, vitreous humor, aqueous humor, and tears of all observable DR patients and DR rats and differentially expressed proteins after drug intervention have provided new ideas for further exploring the pathogenesis, diagnosis and treatment of DR with the rise of proteomics, which put forward new insights into early detection and treatment.The proteomics of DR in recent years are reviewed, in order to provide new ideas for the diagnosis and treatment of DR.

Diabetic retinopathy(DR)has emerged as the leading cause of vision loss among working-age people in many countries under the increasing prevalence of diabetes and the longevity of the population. The pathogenesis of DR is complicated and has not been fully elucidated at present, while the treatment methods of DR have not been greatly improved, mainly retinal laser photocoagulation, anti-vascular endothelial growth factor(VEGF)treatment and vitrectomy surgery. The current treatment methods not only have shortcomings, but also bring serious economic burden to patients. Therefore, new methods are needed to explore the pathogenesis of DR, discover new treatments or improve current treatments, and improve the satisfaction of DR patients. In recent years, the identification and quantification of proteins expressed in blood, retina, vitreous humor, aqueous humor, and tears of all observable DR patients and DR rats and differentially expressed proteins after drug intervention have provided new ideas for further exploring the pathogenesis, diagnosis and treatment of DR with the rise of proteomics, which put forward new insights into early detection and treatment.The proteomics of DR in recent years are reviewed, in order to provide new ideas for the diagnosis and treatment of DR.

In view of the few studies on the influence of Armillaria spp. infection on the content of the chemical components in different parts of Polyporus umbellatus sclerotia, this study determined the biomass of P. umbellatus sclerotia and the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in the separated cavity wall of the sclerotia and the uninfected part of the sclerotia in different harvesting years under the conditions of A. gallica and A. mellea infection respectively. According to the difference of content and dynamic changes of the polysaccharide and the steroid substances, the superior Armillaria sp. was screened to obtain the best harvest years of P. umbellatus. Using HPLC and UV-VIS spectrophotometry methods, the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in P. umbellatus sclerotia infected by the two Armillaria spp. in different years were determined. In addition, the differentially expressed genes related to P. umbellatus polysaccharide synthesis were screened according to the transcriptomic data of different parts of P. umbellatus after A. mellea infection. With the increase of years, the biomass of sclerotia infected by different Armillaria spp. had significant differences, and there were significant differences in the four components of sclerotia. The four components of the separated cavity wall of the sclerotia were significantly higher than those of the uninfected part. The best harvest time was the third year after cultivation. Transcriptomic analysis showed that the infection of Armillaria spp. could significantly promote polysaccharide synthesis, which provided a basis for polysaccharide content determination at the molecular level. The study clarified the influence of different Armillaria spp. infection on the accumulation of chemical components of P. umbellatus sclerotia, laying a foundation for exploring the symbiosis mechanism and provided a scientific clue for screening superior Armillaria sp. and guiding the artificial cultivation of P. umbellatus sclerotia.

Background: A comparative study of classical medical texts within Traditional Medicine provides a vital framework for uncovering the origins, development, transmission, and historical significance of healing traditions. This approach highlights a specific culture’s contribution to medical knowledge and reflects the intricate interplay of religion, culture, and philosophical thought embedded in those eras. Aim: To conduct a comparative analysis of the depictions of the “Medicinal Mandala” as described in the first chapter of the “Root Tantra” section in the two classical medical sources Sorig Bumshi and Gyudshi. Materials and Methods: This research examines two foundational Tibetan medical texts—Sorig Bumshi and Gyudshi—using theme-based classification and content analysis methodologies grounded in textual source criticism. Results: The findings confirm that Sorig Bumshi, a Bönpo medical text from the ancient Zhangzhung civilization, was composed earlier. The great translator Byaruzana translated it from the Zhangzhung language, after which Yuthok Yönten Gönpo and collaborators edited, revised, and systematized the text to form Gyudshi, embedding it in Buddhist epistemological frameworks. Conclusions 1. The medicinal mandala of Gyudshi—structured around a central "beautiful medicinal city" surrounded by four directional mountains—demonstrates a refined adaptation of the more expansive, sacred mandala depicted in Sorig Bumshi, which is centered on Olmo Lung Ring, a Bönpo pure land rich in symbolic geography. 2. The numerical values recorded in both texts—particularly the recurring use of 360 and 404—suggest different paradigms in medical theory. Sorig Bumshi embeds these numbers within a Bön cosmological and ritual context (e.g., 360 deities, mountains, and healing lakes), while Gyudshi reinterprets them under Buddhist causal reasoning (e.g., 404 diseases derived from wind, bile, phlegm, and karma). This transformation reflects a shift from Bön to Buddhist medical epistemology through selective integration and doctrinal refinement.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Lasers are widely utilized in ion sources for mass spectrometry.They can be employed to desorb and ionize samples directly or enhance the ionization efficiency of neutral molecules through post-ionization.To investigate the ionization characteristics of the single photon ionization technique,in this work,a femtosecond laser with a wavelength of 515 nm was utilized for desorption,and a nanosecond laser with a wavelength of 118 nm for post-ionization.A laboratory-built laser desorption/laser post-ionization time-of-flight mass spectrometer(LDPI-TOFMS)was used to analyze three types of organic substances including acridines,phenothiazines,and metal porphyrins.The results demonstrated that the single photon ionization method effectively reduced the fragment generation,safeguarded the molecular ions against fragmentation,and achieved soft ionization as indicated by the adductive and characteristic molecular ions.Furthermore,a 266-nm nanosecond laser was employed as a multiphoton post-ionization source for comparison.The outcomes indicated that molecules were significantly fragmented,and more fragmented ions were generated due to the multiphoton ionization technique,which complicated the spectral analysis.The comparison further demonstrated that the single-photon post-ionization technology could be utilized to analyze a variety of organic compounds via soft ionization.LDPI-TOFMS procedure was straightforward,and did not require intricate sample preparations.The laser desorption with single photon post-ionization mass spectrometry showed potential to offer a high level of sensitivity and specificity for surfaces,thin layers,and complicated sample analysis.