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.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Background/Aims: The performance of machine learning (ML) in predicting the outcomes of patients with hepatocellular carcinoma (HCC) remains uncertain. We aimed to develop risk scores using conventional methods and ML to categorize early-stage HCC patients into distinct prognostic groups. Methods: The study retrospectively enrolled 1,411 consecutive treatment-naïve patients with the Barcelona Clinic Liver Cancer (BCLC) stage 0 to A HCC from 2012 to 2021. The patients were randomly divided into a training cohort (n=988) and validation cohort (n=423). Two risk scores (CATS-IF and CATS-INF) were developed to predict overall survival (OS) in the training cohort using the conventional methods (Cox proportional hazards model) and ML-based methods (LASSO Cox regression), respectively. They were then validated and compared in the validation cohort. Results: In the training cohort, factors for the CATS-IF score were selected by the conventional method, including age, curative treatment, single large HCC, serum creatinine and alpha-fetoprotein levels, fibrosis-4 score, lymphocyte-tomonocyte ratio, and albumin-bilirubin grade. The CATS-INF score, determined by ML-based methods, included the above factors and two additional ones (aspartate aminotransferase and prognostic nutritional index). In the validation cohort, both CATS-IF score and CATS-INF score outperformed other modern prognostic scores in predicting OS, with the CATSINF score having the lowest Akaike information criterion value. A calibration plot exhibited good correlation between predicted and observed outcomes for both scores. Conclusions Both the conventional Cox-based CATS-IF score and ML-based CATS-INF score effectively stratified patients with early-stage HCC into distinct prognostic groups, with the CATS-INF score showing slightly superior performance.

Objective: To evaluate the effect of Wendler Glottoplasty to elevate vocal pitch in transgender women. Methods: The voice parameters of pre-and 3-month post-surgery of 29 transgender women who underwent Wendler Glottoplasty in department of otorhinolaryngology head and neck surgery of Beijing Friendship Hospital from January, 2017 to October, 2020 were retrospectively analyzed. The 29 transgender women ranged in age from 19-47 (27.0±6.3) years old. Subjective evaluation was performed using Transsexual Voice Questionnaire for Male to Female (TVQ^MtF). Objective parameters included fundamental frequency (F₀), highest pitch, lowest pitch, habitual volume, Jitter, Shimmer, maximal phonation time (MPT), noise to harmonic ratio (NHR) and formants frequencies(F1, F2, F3, F4). SPSS 25.0 software was used for statistically analysis. Results: Three months after surgery, the score of TVQ^MtF was significantly decreased [(89.9±14.7) vs. (50.4±13.6), t=11.49, P<0.001]. The F₀ was significantly elevated [(152.7±23.3) Hz vs. (207.7±45.9) Hz, t=-6.03, P<0.001]. Frequencies of F1, F2 and F3 were significantly elevated. No statistical difference was observed in the frequencies of F4. The highest pitch was not significantly altered while the lowest pitch was significantly elevated [(96.8±17.7) Hz vs. (120.0±28.9) Hz, t=-3.71, P=0.001]. Habitual speech volume was significantly increased [(60.0±5.2) dB vs. (63.6±9.6) dB, t=-2.12, P=0.043]. Jitter, Shimmer, NHR and MPT were not obviously altered (P>0.05). Conclusions: Wendler Glottoplasty could notably elevate the vocal pitch, formants frequencies and degree of vocal femininity in transgender women without affecting phonation ability and voice quality. It can be an effective treatment modality for voice feminization.
Humans ; Male ; Female ; Young Adult ; Adult ; Middle Aged ; Transgender Persons ; Retrospective Studies ; Speech Acoustics ; Voice Quality ; Phonation

Objective: To screen the differentially expressed genes (DEGs) in diabetic foot ulcers (DFUs), and to perform functional analysis and clinical validation of them, intending to lay a theoretical foundation for epigenetic therapy of chronic refractory wounds. Methods: An observational study was conducted. The gene expression profile dataset GSE80178 of DFU patients in Gene Expression Omnibus (GEO) was selected, and the DEG between three normal skin tissue samples and six DFU tissue samples in the dataset was analyzed and screened using the GEO2R tool. For the screened DEG, ClusterProfiler, org.Hs.eg.db, GOplot, and ggplot2 in the R language packages were used for Gene Ontology (GO) enrichment analysis of biological processes, molecular functions, and cellular components, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, respectively. Protein-protein interaction (PPI) analysis was performed using STRING database to screen key genes in the DEG, and GO enrichment analysis of key genes was performed using Cytohubba plug-in in Cytoscape 3.9.1 software. DFU tissue and normal skin tissue discarded after surgery were collected respectively from 15 DFU patients (7 males and 8 females, aged 55-87 years) and 15 acute wound patients (6 males and 9 females, aged 8-52 years) who were admitted to Xiang'an Hospital of Xiamen University from September 2018 to March 2021. The mRNA and protein expressions of small proline-rich repeat protein 1A (SPRR1A) and late cornified envelope protein 3C (LCE3C) were detected by real-time fluorescent quantitative reverse transcription polymerase chain reaction and immunohistochemistry, respectively. Data were statistically analyzed with independent sample t test. Results: Compared with normal skin tissue, 492 statistically differentially expressed DEGs were screened from DFU tissue of DFU patients (corrected P<0.05 or corrected P<0.01), including 363 up-regulated DEGs and 129 down-regulated DEGs. GO terminology analysis showed that DEGs were significantly enriched in the aspects of skin development, keratinocyte (KC) differentiation, keratinization, epidermal development, and epidermal cell differentiation, etc. (corrected P values all <0.01). KEGG pathway analysis showed that DEGs were significantly enriched in the aspects of tumor-associated microRNA, Ras related protein 1 signaling pathway, and pluripotent stem cell regulatory signaling pathway, etc. (corrected P values all <0.01). PPI analysis showed that endophial protein, SPRR1A, SPRR1B, SPRR2B, SPRR2E, SPRR2F, LCE3C, LCE3E, keratin 16 (all down-regulated DEGs), and filoprotein (up-regulated DEG) were key genes of DEGs screened from DFU tissue of DFU patients, which were significantly enriched in GO terms of keratinization, KC differentiation, epidermal cell differentiation, skin development, epidermis development, and peptide cross-linking, etc. (corrected P values all <0.01). The mRNA expressions of SPRR1A and LCE3C in DFU tissue of DFU patients were 0.588±0.082 and 0.659±0.098, respectively, and the protein expressions were 0.22±0.05 and 0.24±0.04, respectively, which were significantly lower than 1.069±0.025 and 1.053±0.044 (with t values of 20.91 and 13.66, respectively, P values all <0.01) and 0.38±0.04 and 0.45±0.05 (with t values of 9.69 and 12.46, respectively, P values all <0.01) in normal skin tissue of acute wound patients. Conclusions: Compared with normal skin tissue, there is DEG profile in DFU tissue of DFU patients, with DEGs being significantly enriched in the aspects of KC differentiation and keratin function. Key DEGs are related to the biological function of KC, and their low expressions in DFU tissue of DFU patients may impede ulcer healing.
Female ; Humans ; Male ; Computational Biology ; Diabetes Mellitus/genetics* ; Diabetic Foot/genetics* ; Gene Expression Profiling ; Keratin-16 ; MicroRNAs/genetics* ; Proline ; RNA, Messenger ; Middle Aged ; Aged ; Aged, 80 and over ; Child ; Adolescent ; Young Adult ; Adult ; Wound Healing/genetics*

Aim To investigate the slope ratio method for the determination of anticoagulant activity of leeches. Methods Three batches of leeches, four groups of Japanese medical vermiculite yinpian and fifteen groups of leech preparations were chosen, with contrast medicinal leeches herbs and Philippine cattle leech contrast medicinal materials, and different concentrations of leaching solutions were prepared in parallel. APTT value was determined after anticoagulant activity was determined by slope ratio method for the joint validation of laboratory, intermediate precision and accuracy between the linear range. Results The slope ratio method was accurate and accurate in the determination of anticoagulant activity of leeches, with linearity between 64% and 156% relative titer level. Conclusion Slope ratio method can be used to determine the anticoagulant activity of leeches.

Objective: To analyze the clinical characteristics, treatment and prognosis of Hashimoto's encephalopathy presenting with isolated cerebellar ataxia in children. Methods: A retrospective analysis was performed on the clinical features, laboratory tests, neuroelectrophysiological examination, imaging, treatment and outcomes of 13 patients with Hashimoto's encephalopathy presenting with isolated cerebellar ataxia, who were admitted to the Department of Pediatric Neurology of Guangzhou Women and Children's Medical Center from January 2016 to May 2021. Results: Among the 13 cases, 6 were males and 7 were females. The onset age was 2.6 (2.0,3.3) years, 9 children had precursor infection or vaccination before the first course of disease. All the 13 children had gait abnormalities or unsteady sitting, 10 had intentional tremor, 6 had dysarthria, 3 had body tremor, 2 had nystagmus, 3 had fatigue, 3 had hypotonia, 2 had vomiting and 1 had irritability. Thyroglobulin antibody (TgAb) was 500.0 (298.9,587.2) kU/L and thyroid peroxidase antibody (TPOAb) was 621.9 (449.6,869.4) kU/L in 13 cases. Autoantibodies were positive in 9 cases, and cerebrospinal fluid leukocytosis was seen in 4 cases. Regarding electroencephalography result, 4 cases had background slowing and 1 case had occasional sharp waves. Among the 3 patients who had relapses, 1 had cerebellar atrophy shown on cranial magnetic resonance imaging (MRI) during the recurrence. All the patients received intravenous immunoglobulin (IVIG) and intensive methylprednisolone therapy during the first onset, followed by the disappearance of the symptoms, 1 patient had repeated episodes which was decreased after immunosuppressive treatment with Rituximab.Followed up for 25.0 (22.5,33.3) months after the last episode, 12 achieved complete remission and 1 had a wide base gait. Conclusions: Trunk ataxia is the common symptom of Hashimoto's encephalopathy presenting with isolated cerebellar ataxia in children.Children with cerebellar ataxia should be tested for TgAb and TPOAb to detect Hashimoto's encephalopathy, avoiding missed diagnosis and treatment delays; IVIG and intensive steroid therapy is effective, and immunosuppressive therapy for patients with multiple relapses could reduce the recurrence.
Autoantibodies ; Cerebellar Ataxia ; Child ; Encephalitis ; Female ; Hashimoto Disease ; Humans ; Male ; Retrospective Studies