1.Isolation of functional human Leydig cells: A differential-adhesion approach with multi-modal phenotypic and steroidogenic validation
Yee Jia Heng ; Pooi Pooi Leong ; Omar Ahmed Fahmy Ahmed ; Waye Hann Kang
Journal of the ASEAN Federation of Endocrine Societies 2026;41(S1):3-
Introduction:
Leydig cells (LCs) are the principal source of testosterone in males, underpinning male reproductive health and androgendependent physiology. Precise isolation of viable human LCs is essential for mechanistic steroidogenesis research and
cell-based therapeutic development. Existing protocols rely on density-gradient centrifugation, which is technically
demanding and often compromises yield and viability. Here, we describe a simplified density-gradient-free approach
using differential adhesion to enrich functional human LCs from testicular tissue.
Methodology:
Human testicular fragments (~5 mm³) were minced and enzymatically digested with collagenase IV (2 mg/mL) at 37°C for
20 min under gentle agitation (100 RPM). The suspension was filtered (45 µm) and plated onto poly-L-lysine-coated T25
flasks. After 24 hours, non-adherent cells were removed by PBS washing. Viability exceeded 90% by trypan blue exclusion.
Cells were maintained in DMEM/F12 with 10% FBS, 1% Antibiotic-Antimycotic, and 10 ng/mL luteinizing hormone
(LH) to preserve the mature LC phenotype. Characterization employed immunofluorescence and flow cytometry using
antibodies against SF-1, StAR, LHCGR, PDGFRA, and TEM-1. Testosterone secretion was quantified by ELISA under basal
conditions and LH-stimulated conditions (10 ng/mL).
Results:
The protocol yielded ~1.25 × 10⁶ LCs per gram of tissue with >80% purity. Adherent HLCs displayed dense cytoplasmic
lipid granules and intercellular networks consistent with active steroidogenesis. Flow cytometry confirmed 84.7% StAR⁺
cells, indicative of a robust steroidogenic population. A distinct progenitor subpopulation (PDGFRα⁺/TEM-1⁺) comprising
~28% of primary cultures, suggests retention of regenerative capacity. Basal testosterone secretion averaged 8.88 ng/mL
per 24 hours, confirming preserved functional activity post-isolation.
Conclusion
This differential-adhesion protocol efficiently isolates functional human LCs without density-gradient media. Multimodal validation integrating immunofluorescence, flow cytometry, and ELISA confirms both phenotypic identity and
steroidogenic competence, providing a reproducible and accessible platform for LC research and translational applications
in male hypogonadism and androgen replacement.
Leydig Cells
2.Recurrent Diabetic Ketoacidosis: Predictors and Clinical Outcomes in a 24-Year Retrospective Cohort
Liang Wei Wong ; Lisa Mohamed Nor ; Raja Nurazni binti Raja Azwan ; Adilah Zulaikha binti Abd Latib ; Hidayatil Alimi bin Keya Nordin ; Qin Zhi Lee ; Kean Heng Lim ; Jia Ling Low ; Mohd Fyzal bin Bahrudin ; Syaza binti Izhar Hisham ; Jia Whey Jacelyn Ong ; Chin Voon Tong
Journal of the ASEAN Federation of Endocrine Societies 2026;41(S1):33-34
Introduction:
Diabetic ketoacidosis (DKA) is a life-threatening complication associated with significant morbidity and healthcare
burden. Despite advances in diabetes care, recurrent
DKA remains common, often reflecting gaps in treatment
adherence and patient education. Identifying predictors
of recurrence is crucial for risk stratification and targeted
intervention.
Methodology:
We conducted a retrospective observational study of all
adult DKA admissions to a tertiary centre between 2001
and 2025. Electronic medical records were reviewed for
demographic data, biochemical parameters, precipitating
factors, and clinical outcomes. DKA was defined using standard biochemical criteria. Recurrent DKA was defined as ≥2 admissions during the study period. Factors associated
with recurrent DKA admissions were analyzed. Patients
under the age of 18 years and those with missing vital
information were excluded.
Results:
A total of 667 DKA admissions, comprising 566 patients,
were identified, of which 101 admissions (15.1%) were
recurrent, involving 65 patients. Among recurrent DKA
episodes, the most common precipitating factors were
infection (64.4%) and insulin omission (62.4%). After
multivariate analyses, patients with type 1 diabetes
mellitus (T1DM) were more likely to develop recurrent
DKA compared to those with type 2 diabetes mellitus
(aOR 4.16; 95% confidence interval [CI] 2.58–6.70; p <0.001).
Insulin omission was strongly associated with recurrent
DKA (aOR 2.29; 95% CI 1.46–3.60; p <0.001). In contrast,
baseline glycated hemoglobin and chronic kidney disease
were not significantly associated with recurrence. Diabetic
counseling during the first DKA admission did not reduce
recurrent DKA. There were no significant differences in
mortality (3.9% vs 6.2%, p = 0.524) or critical care admission
rates (40.6% vs 38.7%, p = 0.718) between recurrent and first
DKA episodes.
Conclusion
Recurrent DKA accounts for a substantial proportion of
DKA admissions and is strongly associated with insulin
omission and T1DM. Our findings suggest that recurrent
DKA is driven predominantly by behavioral and adherencerelated factors, indicating the need for multidisciplinary
interventions beyond standard inpatient counseling.
Diabetic Ketoacidosis
;
Retrospective Studies
3.Clinical and Biochemical Characteristics of Adult Diabetic Ketoacidosis: T1DM vs. T2DM
Mohd Fyzal Bahrudin ; Chin Voon Tong ; Raja Nurazni Raja Azwan ; Adilah Zulaikha Abd Latib ; idayatil Alimi Keya Nordin ; Qin Zhi Lee ; Kean Heng Lim ; Jia Ling Low ; Syaza Izhar Hisham ; Liang Wei Wong ; Jia Whey Jacelyn Ong ; Lisa Mohamed Nor ; Zanariah Hussein
Journal of the ASEAN Federation of Endocrine Societies 2026;41(S1):39-40
Introduction:
The rising incidence of diabetic ketoacidosis (DKA) in type 2
diabetes mellitus (T2DM) represents a paradigm shift from
its traditional recognition as a hallmark complication of
type 1 diabetes mellitus (T1DM). However, contemporary
data comparing clinical presentation, precipitating factors,
and outcomes between these two populations remain
limited.
Methodology:
In this retrospective observational study, all adult DKA
admissions with T1DM or T2DM at a tertiary centre between
2001 and 2025 were studied. DKA was defined according
to standard biochemical criteria. Electronic medical records were reviewed to extract demographic data, biochemical
parameters, precipitating factors, management details, and
clinical outcomes of all adult DKA admission in T1DM and
T2DM. Patients aged <18 years or those with incomplete
data were excluded.
Results:
A total of 601 DKA episodes were analyzed, comprising
130 (21.6%) in patients with T1DM and 471 (78.4%) in those
with T2DM. Mean age was 26.9 ± 0.71 years for T1DM and
52.1 ± 0.7 years for T2DM. Gender distribution was balanced
(male 48.3%, female 51.7%). Mean hemoglobin A1c (HbA1c)
was 11.3 ± 0.3% in T1DM and 12.1 ± 0.2% in T2DM. Infection
was the most common precipitating factor overall (69.0%),
occurring more frequently in T2DM than in T1DM (74.7%
vs. 56.2%), followed by medication non-adherence (62.4%
vs. 43.8%). Significant differences were observed between
groups in admission pH, bicarbonate (both p <0.001), blood
ketones (p = 0.028), and HbA1c (p = 0.010), whereas anion
gap (p = 0.056) and blood glucose levels (p = 0.755) did not
differ significantly. Clinical outcomes were comparable
with respect to intensive care unit (ICU) admission rates
(40.0% in T1DM vs. 39.0% in T2DM, p = 0.779) and median
resolution time (p = 0.462). However, the median length of
hospital stay was significantly longer in T2DM (8.2 ± 0.32
vs. 5.4 ± 0.4 days; p <0.001). Overall mortality was 6.0%,
with substantially higher mortality in T2DM compared to
T1DM (7.4% vs. 0.8%, p = 0.013).
Conclusion
In this large regional series of adult DKA, most episodes
occurred in T2DM. Despite similar ICU admission rates
and time to resolution, T2DM was associated with more
frequent infection-related precipitants, longer hospital
stays, and higher mortality, underscoring the need for
targeted preventive strategies in this population.
Adult
;
Diabetes Mellitus, Type 1
;
Diabetic Ketoacidosis
;
Diabetes Mellitus, Type 2
4.Diabetic Ketoacidosis in Pregnancy: Clinical Triggers, Outcomes, and Missed Opportunities—A Case Series
Jia Whey Jacelyn Ong ; Chin Voon Tong ; Raja Nurazni binti Raja Azwan ; Adilah Zulaikha binti Abd Latib ; Hidayatil Alimi bin Keya Nordin ; Qin Zhi Lee ; Kean Heng Lim ; Jia Ling Low ; Mohd Fyzal bin Bahrudin ; Syaza binti Izhar Hisham ; Liang Wei Wong ; Lisa Mohamed Nor ; Nurain Mohd Noorr
Journal of the ASEAN Federation of Endocrine Societies 2026;41(S1):48-49
Introduction:
Diabetic ketoacidosis (DKA) in pregnancy is an uncommon
yet life-threatening emergency, with disproportionate risks
to both mother and fetus. Pregnancy-specific physiological changes predispose patients to rapid metabolic decompensation, often with atypical presentations. Despite
this, local data remain limited. We describe the clinical
profile, precipitating factors, and outcomes of DKA in
pregnancy in a tertiary centre, with emphasis on potentially
preventable triggers.
Cases:
Nine pregnant patients with DKA were identified from a
retrospective review of all cases admitted for DKA from
2002 to 2025. Mean age was 31.67 ± 5.20 years; all were
Malay. The majority had type 2 diabetes mellitus (55.6%),
followed by type 1 diabetes (33.3%) and latent autoimmune
diabetes in adults (11.1%). The mean period of amenorrhea
was 19.67 ± 12.62 weeks.
Infection was the leading precipitant (44.4%), with
additional triggers including insulin omission (22.2%),
hyperemesis gravidarum, preterm labor, steroid exposure,
and perioperative fasting. Most diagnoses were made in
the emergency department (55.6%).
Biochemical parameters reflected significant severity (mean
bicarbonate 7.89 ± 2.98 mmol/L; anion gap 25.00 ± 5.81),
with 88.9% classified as severe DKA. Intensive Care Unit
(ICU) care was required in 77.8% of cases. The majority
(77.8%) were admitted to the ICU unit, with a median time
to resolution of 13.00 ± 12.00 hours (interquartile range
[IQR]), and the median hospital length of stay was 7.00 ±
5.00 days (IQR).
Complications during treatment included hypokalemia
(33.3%), acute kidney injury (22.2%), and hypoglycemia
(11.1%). Rebound DKA occurred in one-third of patients.
All patients were discharged clinically stable. Outcome
data demonstrated pregnancy loss in three cases and one
preterm birth.
Conclusion
DKA in pregnancy remains a severe and resource-intensive
condition. This series highlights missed opportunities in
prevention, with modifiable precipitants such as infection
and insulin omission commonly identified. The high
severity at presentation suggests delays in recognition.
Early detection, optimized metabolic care, and targeted
preventive strategies are crucial to improving maternal
and fetal outcomes.
Female
;
Pregnancy
;
Diabetic Ketoacidosis
6.Genome-wide investigation of transcription factor footprints and dynamics using cFOOT-seq.
Heng WANG ; Ang WU ; Meng-Chen YANG ; Di ZHOU ; Xiyang CHEN ; Zhifei SHI ; Yiqun ZHANG ; Yu-Xin LIU ; Kai CHEN ; Xiaosong WANG ; Xiao-Fang CHENG ; Baodan HE ; Yutao FU ; Lan KANG ; Yujun HOU ; Kun CHEN ; Shan BIAN ; Juan TANG ; Jianhuang XUE ; Chenfei WANG ; Xiaoyu LIU ; Jiejun SHI ; Shaorong GAO ; Jia-Min ZHANG
Protein & Cell 2025;16(11):932-952
Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics*
;
Humans
;
Chromatin/genetics*
;
Animals
;
Binding Sites
;
Mice
;
DNA Footprinting/methods*
7.Risk prediction of Reduning Injection batches by near-infrared spectroscopy combined with multiple machine learning algorithms.
Wen-Yu JIA ; Feng TONG ; Heng-Xu LIU ; Shu-Qin JIN ; Yong-Chao ZHANG ; Chen-Feng ZHANG ; Zhen-Zhong WANG ; Xin ZHANG ; Wei XIAO
China Journal of Chinese Materia Medica 2025;50(2):430-438
In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods*
;
Drugs, Chinese Herbal/administration & dosage*
;
Machine Learning
;
Algorithms
;
Humans
;
Quality Control
8.Banxia Xiexin Decoction suppresses malignant phenotypes of colon cancer cells via PARG/PARP1/NF-κB signaling pathway.
Yu-Qing HUANG ; Jia-Mei WANG ; Heng-Zhou LAI ; Chong XIAO ; Feng-Ming YOU ; Qi-Xuan KUANG ; Yi-Fang JIANG
China Journal of Chinese Materia Medica 2025;50(2):496-506
This study aims to delve into the influences and underlying mechanisms of Banxia Xiexin Decoction(BXD) on the proliferation, apoptosis, invasion, and migration of colon cancer cells. Firstly, the components of BXD in blood were identified by UPLC-MS/MS, and subsequently the content of these components were determined by HPLC. Then, different concentrations of BXD were used to treat both the normal intestinal epithelial cells(NCM460) and the colon cancer cells(HT29 and HCT116). The cell viability and apoptosis were examined by the cell counting kit-8(CCK-8) and flow cytometry, respectively. Western blot was employed to determine the expression of the apoptosis regulators B-cell lymphoma-2(Bcl-2) and Bcl-2-associated X(Bax). The cell wound healing assay and Transwell assay were employed to measure the cell migration and invasion, respectively. Additionally, Western blot was employed to determine the expression levels of epithelial-mesenchymal transition(EMT)-associated proteins, including epithelial cadherin(E-cadherin), neural cadherin(N-cadherin), and vimentin. The protein and mRNA levels of the factors in the poly(ADP-ribose) glycohydrolase(PARG)/poly(ADP-ribose) polymerase 1(PARP1)/nuclear factor kappa-B p65(NF-κB p65) signaling pathway were determined by Western blot and RT-qPCR, respectively. The results demonstrated that following BXD intervention, the proliferation of HT29 and HCT116 cells was significantly reduced. Furthermore, BXD promoted the apoptosis, enhanced the expression of Bcl-2, and suppressed the expression of Bax in colon cancer cells. At the same time, BXD suppressed the cell migration and invasion and augmented the expression of E-cadherin while diminishing the expression of N-cadherin and vimentin. In addition, BXD down-regulated the protein and mRNA levels of PARG, PARP1, and NF-κB p65. In conclusion, BXD may inhibit the malignant phenotypes of colon cancer cells by mediating the PARG/PARP1/NF-κB signaling pathway.
Colonic Neoplasms/pathology*
;
Drugs, Chinese Herbal/pharmacology*
;
Phenotype
;
Signal Transduction/drug effects*
;
Cell Proliferation/drug effects*
;
Apoptosis
;
Cell Movement/drug effects*
;
Neoplasm Invasiveness
;
HCT116 Cells
;
Proto-Oncogene Proteins c-bcl-2/biosynthesis*
;
Humans
;
Poly (ADP-Ribose) Polymerase-1
;
Glycoside Hydrolases
;
bcl-2-Associated X Protein
;
NF-kappa B p50 Subunit
9.Intraspecific variation of Forsythia suspensa chloroplast genome.
Yu-Han LI ; Lin-Lin CAO ; Chang GUO ; Yi-Heng WANG ; Dan LIU ; Jia-Hui SUN ; Sheng WANG ; Gang-Min ZHANG ; Wen-Pan DONG
China Journal of Chinese Materia Medica 2025;50(8):2108-2115
Forsythia suspensa is a traditional Chinese medicine and a commonly used landscaping plant. Its dried fruit is used in medicine for its functions of clearing heat, removing toxins, reducing swelling, dissipating masses, and dispersing wind and heat. It possesses extremely high medicinal and economic value. However, the genetic differentiation and diversity of its wild populations remain unclear. In this study, chloroplast genome sequences were obtained from 15 wild individuals of F. suspensa using high-throughput sequencing technology. The sequence characteristics and intraspecific variations were analyzed. The results were as follows:(1) The full length of the F. suspensa chloroplast genome ranged from 156 184 to 156 479 bp, comprising a large single-copy region, a small single-copy region, and two inverted repeat regions. The chloroplast genome encoded a total of 132 genes, including 87 protein-coding genes, 37 tRNA genes, and 8 rRNA genes.(2) A total of 166-174 SSR loci, 792 SNV loci, and 63 InDel loci were identified in the F. suspensa chloroplast genome, indicating considerable genetic variation among individuals.(3) Population structure analysis revealed that F. suspensa could be divided into five or six groups. Both the population structure analysis and phylogenetic reconstruction results indicated significant genetic variation within the wild populations of F. suspensa, with no obvious correlation between intraspecific genetic differentiation and geographical distribution. This study provides new insights into the genetic diversity and differentiation within F. suspensa species and offers additional references for the conservation of species diversity and the utilization of germplasm resources in wild F. suspensa.
Genome, Chloroplast
;
Forsythia/classification*
;
Phylogeny
;
Genetic Variation
;
Chloroplasts/genetics*
;
Microsatellite Repeats
10.Protective effect of sub-hypothermic mechanical perfusion combined with membrane lung oxygenation on a yorkshire model of brain injury after traumatic blood loss.
Xiang-Yu SONG ; Yang-Hui DONG ; Zhi-Bo JIA ; Lei-Jia CHEN ; Meng-Yi CUI ; Yan-Jun GUAN ; Bo-Yao YANG ; Si-Ce WANG ; Sheng-Feng CHEN ; Peng-Kai LI ; Heng CHEN ; Hao-Chen ZUO ; Zhan-Cheng YANG ; Wen-Jing XU ; Ya-Qun ZHAO ; Jiang PENG
Chinese Journal of Traumatology 2025;28(6):469-476
PURPOSE:
To investigate the protective effect of sub-hypothermic mechanical perfusion combined with membrane lung oxygenation on ischemic hypoxic injury of yorkshire brain tissue caused by traumatic blood loss.
METHODS:
This article performed a random controlled trial. Brain tissue of 7 yorkshire was selected and divided into the sub-low temperature anterograde machine perfusion group (n = 4) and the blank control group (n = 3) using the random number table method. A yorkshire model of brain tissue injury induced by traumatic blood loss was established. Firstly, the perfusion temperature and blood oxygen saturation were monitored in real-time during the perfusion process. The number of red blood cells, hemoglobin content, NA+, K+, and Ca2+ ions concentrations and pH of the perfusate were detected. Following perfusion, we specifically examined the parietal lobe to assess its water content. The prefrontal cortex and hippocampus were then dissected for histological evaluation, allowing us to investigate potential regional differences in tissue injury. The blank control group was sampled directly before perfusion. All statistical analyses and graphs were performed using GraphPad Prism 8.0 Student t-test. All tests were two-sided, and p value of less than 0.05 was considered to indicate statistical significance.
RESULTS:
The contents of red blood cells and hemoglobin during perfusion were maintained at normal levels but more red blood cells were destroyed 3 h after the perfusion. The blood oxygen saturation of the perfusion group was maintained at 95% - 98%. NA+ and K+ concentrations were normal most of the time during perfusion but increased significantly at about 4 h. The Ca2+ concentration remained within the normal range at each period. Glucose levels were slightly higher than the baseline level. The pH of the perfusion solution was slightly lower at the beginning of perfusion, and then gradually increased to the normal level. The water content of brain tissue in the sub-low and docile perfusion group was 78.95% ± 0.39%, which was significantly higher than that in the control group (75.27% ± 0.55%, t = 10.49, p < 0.001), and the difference was statistically significant. Compared with the blank control group, the structure and morphology of pyramidal neurons in the prefrontal cortex and CA1 region of the hippocampal gyrus were similar, and their integrity was better. The structural integrity of granulosa neurons was destroyed and cell edema increased in the perfusion group compared with the blank control group. Immunofluorescence staining for glail fibrillary acidic protein and Iba1, markers of glial cells, revealed well-preserved cell structures in the perfusion group. While there were indications of abnormal cellular activity, the analysis showed no significant difference in axon thickness or integrity compared to the 1-h blank control group.
CONCLUSIONS
Mild hypothermic machine perfusion can improve ischemia and hypoxia injury of yorkshire brain tissue caused by traumatic blood loss and delay the necrosis and apoptosis of yorkshire brain tissue by continuous oxygen supply, maintaining ion homeostasis and reducing tissue metabolism level.
Animals
;
Perfusion/methods*
;
Disease Models, Animal
;
Brain Injuries/etiology*
;
Swine
;
Male
;
Hypothermia, Induced/methods*


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