Collagen-based materials, renowned for their biocompatibility and minimal immunogenicity, serve as exemplary substrates in a myriad of biomedical applications. Collagen-based micro/nanogels, in particular, are valued for their increased surface area, tunable degradation rates, and ability to facilitate targeted drug delivery, making them instrumental in advanced therapeutics and tissue engineering endeavors. Although extensive reviews on micro/nanogels exist, they tend to cover a wide range of biomaterials and lack a specific focus on collagen-based materials. The current review offers an in-depth look into the manufacturing technologies, drug release mechanisms, and biomedical applications of collagen-based micro/nanogels to address this gap. First, we provide an overview of the synthetic strategies that allow the precise control of the size, shape, and mechanical strength of these collagen-based micro/nanogels by controlling the degree of cross-linking of the materials. These properties are crucial for their performance in biomedical applications. We then highlight the environmental responsiveness of these collagen-based micro/nanogels, particularly their sensitivity to enzymes and pH, which enables controlled drug release under various pathological conditions. The discussion then expands to include their applications in cancer therapy, antimicrobial treatments, bone tissue repair, and imaging diagnosis, emphasizing their versatility and potential in these critical areas. The challenges and future perspectives of collagen-based micro/nanogels in the field are discussed at the end of the review, with an emphasis on the translation to clinical practice. This comprehensive review serves as a valuable resource for researchers, clinicians, and scientists alike, providing insights into the current state and future directions of collagen-based micro/nanogel research and development.
Collagen/chemistry* ; Drug Delivery Systems/methods* ; Humans ; Tissue Engineering/methods* ; Animals ; Biocompatible Materials/chemistry*

Benzylisoquinoline alkaloids (BIAs) are a structurally diverse group of plant metabolites renowned for their pharmacological properties. However, sustainable sources for these compounds remain limited. Consequently, researchers are focusing on elucidating BIA biosynthetic pathways and genes to explore alternative sources using synthetic biology approaches. CYP80B, a family of cytochrome P450 (CYP450) enzymes, plays a crucial role in BIA biosynthesis. Previously reported CYP80Bs are known to catalyze the 3'-hydroxylation of (S)-N-methylcoclaurine, with the N-methyl group essential for catalytic activity. In this study, we successfully cloned a full-length CYP80B gene (StCYP80B) from Stephania tetrandra (S. tetrandra) and identified its function using a yeast heterologous expression system. Both in vivo yeast feeding and in vitro enzyme analysis demonstrated that StCYP80B could catalyze N-methylcoclaurine and coclaurine into their respective 3'-hydroxylated products. Notably, StCYP80B exhibited an expanded substrate selectivity compared to previously reported wild-type CYP80Bs, as it did not require an N-methyl group for hydroxylase activity. Furthermore, StCYP80B displayed a clear preference for the (S)-configuration. Co-expression of StCYP80B with the CYP450 reductases (CPRs, StCPR1, and StCPR2), also cloned from S. tetrandra, significantly enhanced the catalytic activity towards (S)-coclaurine. Site-directed mutagenesis of StCYP80B revealed that the residue H205 is crucial for coclaurine catalysis. Additionally, StCYP80B exhibited tissue-specific expression in plants. This study provides new genetic resources for the biosynthesis of BIAs and further elucidates their synthetic pathway in natural plant systems.
Cytochrome P-450 Enzyme System/chemistry* ; Benzylisoquinolines/chemistry* ; Hydroxylation ; Plant Proteins/chemistry* ; Alkaloids/metabolism* ; Stephania tetrandra/genetics*

Objective:To investigate the consistency and sensitivity of minimal residual disease (MRD) detected by multicolor flow cytometry (FCM) and real-time quantitative polymerase chain reaction (RQ-PCR) in patients with acute myeloid leukemia (AML) accompanied by monocytic differentiation after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:A retrospective case series study was conducted. A total of 218 patients diagnosed with AML accompanied by monocytic differentiation who underwent allo-HSCT in Peking University People's Hospital between January 2017 and December 2021 were included. MRD was detected by using bone marrow FCM and RQ-PCR at predefined intervals (at 1-, 2-, 3-, 4.5-, 6-, 9-, and 12-month before and after transplantation). Patients were grouped based on AML-related specific genes, and dynamic changes in MRD results detected by FCM and RQ-PCR after transplantation were analyzed to evaluate the correlation with post-transplant relapse.Results:A total of 218 enrolled patients included 114 males and 106 females, with the median age of 32 years (1-65 years). The median follow-up duration was 218 d (21-1 541 d). Hematologic relapse occurred in 26 patients (12.7%), with a median relapse time of 272 d (83-934 d); 35 patients (15.9%) died, including 15 (6.9%) due to leukemia relapse and 20 (9.2%) due to transplant-related mortality. Predictive markers for relapse included once WT1 positive (WT1+once), twice WT1 positive (WT1+twice), CBFβ::MYH11 fusion genes positive, mixed-lineage leukemia (MLL)-related fusion genes positive, AML1::ETO fusion genes positive, and once FCM positive (FCM+once), twice FCM positive (FCM+twice). The overall consistency rate between FCM and RQ-PCR for MRD detection in AML patients accompanied by monocytic differentiation after transplantation was 75.7% (165/218). The consistency rate of MRD detection results in WT1+once, WT1+ twice, MLL-related fusion gene positive, and NPM1 gene mutation positive with FCM was higher than the average value (>75.7%), while the consistency rate of MRD detection results in AML1::ETO and CBFβ::MYH11 fusion gene positive with FCM was lower than the average value (<75.7%). Notably, persistent low-level positivity without relapse after transplantation occurred in cases with WT1 (15 patients), NPM1 (2 patients), CBFβ::MYH11 (11 patients), or AML1::ETO (2 patients); in contrast, MLL-related fusion genes (particularly MLL::AF6 and MLL::AF9) positive after transplantation indicated relapse in patients. The sensitivity and specificity of RQ-PCR for MRD monitoring varied by genetic markers: WT1+once and WT1+twice (sensitivity: 66.7%, 50.0%; specificity: 84.5%, 91.1%, respectively), AML1::ETO (sensitivity: 100.0%; specificity: 50.0%), CBFβ::MYH11 (sensitivity: 100.0%; specificity: 58.6%), MLL-related fusion genes (sensitivity: 75.0%; specificity: 96.4%), and NPM1 (sensitivity: 75.0%; specificity: 91.7%).Conclusions:The sensitivity and specificity of AML-related genetic markers for recurrence prediction show differences. Discrepancies between RQ-PCR and FCM in MRD detection are notable in AML with monocytic differentiation after transplantation. FCM exhibits relatively lower sensitivity for MRD monitoring in this subtype, while RQ-PCR based on AML-related genes may compensate for FCM limitations.

Objective To investigate the gene expression and regulatory mechanisms of mouse embryonic fibroblasts (MEFs) under inflammatory conditions, aiming to elucidate the role of MEFs in inflammatory responses and provide a foundation for discovering anti-inflammatory drugs that act by modulating MEF function. Methods MEFs cultured in vitro were divided into the following groups: lipopolysaccharides (LPS)-treated group, inflammatory conditioned medium (CM)-treated group, and control group, which were treated with LPS, CM, and equal volume solvent, respectively. Transcriptome sequencing was used to analyze the effects of two stimuli on gene expression profile of MEFs. Real time fluorescence quantitative PCR (RT-qPCR) was employed to verify the transcription levels of highly expressed genes of MEFs induced by CM. ELISA was performed to determine the concentrations of cytokines in cell supernatants. Finally, the regulatory effects of CM on the activation of signaling pathways in MEFs were analyzed by immunoblotting. Results Transcriptome analysis showed that both LPS and CM induced the transcription of a large number of genes in MEFs. Compared with LPS, CM potentiated the mRNA transcription of some acute phase proteins, inflammatory cytokines, chemokines, matrix metalloproteinases (MMP), prostaglandin synthetases, and colony-stimulating factors. The transcriptome analysis was verified by RT-qPCR. The results of ELISA showed that CM treatment significantly increased the secretion of interleukin 6 (IL-6), C-C motif chemokine ligand (CCL2), and C-X-C motif chemokine ligand (CXCL1) by MEFs compared with LPS. Mechanism study showed that both LPS and CM induced the phosphorylation of nuclear factor-κB p65 (NF-κB p65), p38 mitogen-activated protein kinase (p38 MAPK), extracellular regulated protein kinases 1/2 (ERK1/2), and TANK-binding kinase (TBK) in MEFs, and CM strongly stimulated the phosphorylation of signal transducer and activator of transcription 3 (STAT3) in MEFs. Conclusion Both LPS and CM can induce transcription and protein secretion of various inflammation-related genes in MEFs. CM can partly enhance LPS-induced activation of MEFs, and the mechanism may be related to the enhancement effect of CM on the activation STAT3 signaling pathway.
Animals ; Fibroblasts/immunology* ; Mice ; Lipopolysaccharides/pharmacology* ; Inflammation/metabolism* ; Signal Transduction/drug effects* ; Gene Expression Regulation/drug effects* ; Cytokines/genetics* ; Culture Media, Conditioned/pharmacology* ; Cells, Cultured

Objective To explore the influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial internal carotid artery(ICA)stenosis and to construct a nomogram prediction model.Methods This study retrospectively and consecutively enrolled patients diagnosed with unilateral moderate-to-severe extracranial ICA stenosis and exhibited indications for carotid endarterectomy(CEA)hospitalized in the Department of Neurosurgery at the First Affiliated Hospital of Soochow University,between August 2019 and September 2024.The patients were divided into a stroke group and a non-stroke group,based on their clinical presentation and head MRI results.Baseline characteristics and clinical data including age,sex,body mass index,blood pressure(systolic and diastolic pressure[＜140 mmHg,140-＜160 mmHg,≥160 mmHg]),hypertension,diabetes,smoking and alcohol consumption history,use of statin and antiplatelet medication,fasting blood glucose,high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),triglycerides(TG),total cholesterol(TC)were collected and ratios between LDL-C/HDL-C,TG/HDL-C,non-HDL-C(calculated according to equation:non-HDL-C=TC-HDL-C),and non-HDL-C/HDL-C(nHHR)were calculated based on aforementioned data.The clinical and baseline data were then compared between two groups.Imaging data included side of carotid artery stenosis(identified through neck vascular ultrasound,CT angiography and/or DSA),degree of carotid stenosis(with 50％-69％categorized as moderate stenosis,and,70％-99％as severe stenosis),plaque echogenicity(predominantly low,medium or high),plaque calcification(surface and basal calcification),plaque ulceration(exists or not),bilateral middle cerebral artery(MCA)hemodynamic parameters measured by transcranial Doppler ultrasound(including,mean flow velocity[Vm],peak systolic velocity[Vs],end-diastolic velocity[Vd]),and the pulsatility index(PI,calculated via formula:PI=[Vs-Vd]/Vm).The hemodynamic parameter differences(△Vm,△Vs,△Vd,△PI)between the healthy and affected MCA were calculated.The baseline,clinical and imaging data with P＜0.05 in univariate analysis were included in multivariate Logistic regression analysis using forward stepwise selection to identify influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis,and a nomogram prediction model was then constructed base on the analyzed results.Receiver operating characteristic curves were plotted,and the area under the curve(AUC)was calculated to evaluate the predictive performance of the nomogram.Delong's test was used to compare AUC differences between single indicators and the combined model.Results A total of 166 patients with unilateral moderate-to-severe extracranial ICA stenosis and CEA indication were included.In which,99 patients were in the stroke group and 67 patients were in the non-stroke group.The stroke group had a significantly higher proportion of hypertension patients(78.8％[78/99]vs.59.7％[40/67],P=0.008),higher systolic blood pressure([152±15]mmHg vs.[137±18]mmHg,P＜0.01),higher diastolic blood pressure([84±10]mmHg vs.[80±10]mmHg,P=0.042),higher TG(1.33[0.95,1.77]mmol/L vs.1.10[0.87,1.48]mmol/L,P=0.019),higher TG/HDL-C(1.35[0.97,2.08]vs.1.07[0.81,1.52],P=0.003),and higher nHHR(2.89[2.25,3.61]vs.2.48[1.93,3.27],P=0.027)than the non-stroke group.The HDL-C was significantly lower in the stroke group(0.96[0.80,1.15]mmol/L vs.1.03[0.91,1.16]mmol/L,P=0.014).Statistically significant differences were also observed in the distribution of systolic blood pressure between the groups(P＜0.01).No significant differences were found in other clinical data(all P＞0.05).The proportion of patients with carotid plaque ulceration was higher in the stroke group(35.4％[35/99]vs.16.4％[11/67],P=0.007),while stenosis side,stenosis degree,plaque echogenicity,and plaque calcification type showed no significant differences between the groups(all P＞0.05).△Vm(19[4,32]cm/s vs.10[-3,21]cm/s,P=0.001),△Vs(32[9,55]cm/s vs.24[3,40]cm/s,P=0.005),and △Vd(10[-1,19]cm/s vs.6[-3,12]cm/s,P=0.006)were significantly higher in the stroke group.No significant difference was found in △PI(P=0.076).Multivariate Logistic regression analysis identified high systolic blood pressure(OR,1.063,95％CI 1.036-1.090,P＜0.01),high TG/HDL-C(OR,2.802,95％CI 1.551-5.061,P=0.001),high △Vm(OR,1.032,95％CI 1.010-1.055,P=0.004),and plaque ulceration(OR,2.777,95％CI 1.123-6.871,P=0.027)as independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.Systolic blood pressure,TG/HDL-C,△Vm and plaque ulceration were involved in the construction of a combined predictive model for ischemic stroke in the targeted patient group(with unilateral moderate-to-severe extracranial ICA stenosis).The AUC of the combined prediction model was 0.828(95％CI 0.765-0.892,P＜0.01),which was significantly higher than the predictive efficacy of any single factor(all P＜0.01).Conclusions High systolic blood pressure,high TG/HDL-C ratio,high △Vm,and plaque ulceration are independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.The nomogram prediction model based on these factors demonstrates good predictive value for assessing ischemic stroke risk in this patient population.

Objective:To predict pre-treatment clinical parameters that are associated with poor response and prognosis to ursodeoxycholic acid (UDCA) in patients with primary biliary cholangitis (PBC) and to use second-line treatment drugs in the early stages to delay the progression of the disease so that patients can benefit from early-stage treatment.Methods:Patients diagnosed with PBC at the Second Affiliated Hospital of Kunming Medical University from 2013 to 2022 were collected. Two hundred fifty-seven cases were screened in accordance with the inclusion and exclusion criteria. The response and prognosis conditions one year after treatment were followed up in outpatient and inpatient departments, as well as through telephone calls. Statistical analyses were performed using t-tests, Mann-Whitney U test, χ2 test, Fisher's exact test, and logistic regression analysis according to different data. Results:A total of 257 PBC cases were included, with 223 females (86.80%) and 34 males (13.20%). Univariate and multivariate binary logistic regression analyses showed that baseline high albumin levels [odds ratio ( OR): 0.882, 95% confidence interval ( CI): 0.805～0.967, P=0.008] were a protective factor for PBC patients' response to UDCA treatment after adjusting for different confounding factors, while baseline high alkaline phosphatase ( OR: 1.012, 95% CI: 1.008～1.016, P<0.001) and baseline high neutrophil/lymphocyte ratio (NLR) level ( OR: 1.462, 95% CI:1.079～1.981, P=0.014) were risk factors for a poor response to UDCA. Trend analysis showed that the baseline NLR quantile was positively correlated with the risk of poor response to UDCA ( OR: 5.512, 95% CI: 1.040～29.216, P=0.045) in patients with PBC. Cox proportional hazards regression analysis identified that age [hazard ratio ( HR): 1.050, 95% CI: 1.019～1.082] and NLR value ( HR:1.089, 95% CI:1.021～1.161) were independent influencing risk factors for all-cause mortality in PBC patients ( P<0.05). Conclusion:Baseline high albumin levels are protective factors against a poor biochemical response to UDCA, while baseline high alkaline phosphatase levels and high NLR are risk factors for a poor biochemical response to UDCA in patients with PBC. Additionally, baseline high NLR values are positively correlated with poor biochemical response to UDCA treatment.

Objective To explore the influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial internal carotid artery(ICA)stenosis and to construct a nomogram prediction model.Methods This study retrospectively and consecutively enrolled patients diagnosed with unilateral moderate-to-severe extracranial ICA stenosis and exhibited indications for carotid endarterectomy(CEA)hospitalized in the Department of Neurosurgery at the First Affiliated Hospital of Soochow University,between August 2019 and September 2024.The patients were divided into a stroke group and a non-stroke group,based on their clinical presentation and head MRI results.Baseline characteristics and clinical data including age,sex,body mass index,blood pressure(systolic and diastolic pressure[＜140 mmHg,140-＜160 mmHg,≥160 mmHg]),hypertension,diabetes,smoking and alcohol consumption history,use of statin and antiplatelet medication,fasting blood glucose,high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),triglycerides(TG),total cholesterol(TC)were collected and ratios between LDL-C/HDL-C,TG/HDL-C,non-HDL-C(calculated according to equation:non-HDL-C=TC-HDL-C),and non-HDL-C/HDL-C(nHHR)were calculated based on aforementioned data.The clinical and baseline data were then compared between two groups.Imaging data included side of carotid artery stenosis(identified through neck vascular ultrasound,CT angiography and/or DSA),degree of carotid stenosis(with 50％-69％categorized as moderate stenosis,and,70％-99％as severe stenosis),plaque echogenicity(predominantly low,medium or high),plaque calcification(surface and basal calcification),plaque ulceration(exists or not),bilateral middle cerebral artery(MCA)hemodynamic parameters measured by transcranial Doppler ultrasound(including,mean flow velocity[Vm],peak systolic velocity[Vs],end-diastolic velocity[Vd]),and the pulsatility index(PI,calculated via formula:PI=[Vs-Vd]/Vm).The hemodynamic parameter differences(△Vm,△Vs,△Vd,△PI)between the healthy and affected MCA were calculated.The baseline,clinical and imaging data with P＜0.05 in univariate analysis were included in multivariate Logistic regression analysis using forward stepwise selection to identify influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis,and a nomogram prediction model was then constructed base on the analyzed results.Receiver operating characteristic curves were plotted,and the area under the curve(AUC)was calculated to evaluate the predictive performance of the nomogram.Delong's test was used to compare AUC differences between single indicators and the combined model.Results A total of 166 patients with unilateral moderate-to-severe extracranial ICA stenosis and CEA indication were included.In which,99 patients were in the stroke group and 67 patients were in the non-stroke group.The stroke group had a significantly higher proportion of hypertension patients(78.8％[78/99]vs.59.7％[40/67],P=0.008),higher systolic blood pressure([152±15]mmHg vs.[137±18]mmHg,P＜0.01),higher diastolic blood pressure([84±10]mmHg vs.[80±10]mmHg,P=0.042),higher TG(1.33[0.95,1.77]mmol/L vs.1.10[0.87,1.48]mmol/L,P=0.019),higher TG/HDL-C(1.35[0.97,2.08]vs.1.07[0.81,1.52],P=0.003),and higher nHHR(2.89[2.25,3.61]vs.2.48[1.93,3.27],P=0.027)than the non-stroke group.The HDL-C was significantly lower in the stroke group(0.96[0.80,1.15]mmol/L vs.1.03[0.91,1.16]mmol/L,P=0.014).Statistically significant differences were also observed in the distribution of systolic blood pressure between the groups(P＜0.01).No significant differences were found in other clinical data(all P＞0.05).The proportion of patients with carotid plaque ulceration was higher in the stroke group(35.4％[35/99]vs.16.4％[11/67],P=0.007),while stenosis side,stenosis degree,plaque echogenicity,and plaque calcification type showed no significant differences between the groups(all P＞0.05).△Vm(19[4,32]cm/s vs.10[-3,21]cm/s,P=0.001),△Vs(32[9,55]cm/s vs.24[3,40]cm/s,P=0.005),and △Vd(10[-1,19]cm/s vs.6[-3,12]cm/s,P=0.006)were significantly higher in the stroke group.No significant difference was found in △PI(P=0.076).Multivariate Logistic regression analysis identified high systolic blood pressure(OR,1.063,95％CI 1.036-1.090,P＜0.01),high TG/HDL-C(OR,2.802,95％CI 1.551-5.061,P=0.001),high △Vm(OR,1.032,95％CI 1.010-1.055,P=0.004),and plaque ulceration(OR,2.777,95％CI 1.123-6.871,P=0.027)as independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.Systolic blood pressure,TG/HDL-C,△Vm and plaque ulceration were involved in the construction of a combined predictive model for ischemic stroke in the targeted patient group(with unilateral moderate-to-severe extracranial ICA stenosis).The AUC of the combined prediction model was 0.828(95％CI 0.765-0.892,P＜0.01),which was significantly higher than the predictive efficacy of any single factor(all P＜0.01).Conclusions High systolic blood pressure,high TG/HDL-C ratio,high △Vm,and plaque ulceration are independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.The nomogram prediction model based on these factors demonstrates good predictive value for assessing ischemic stroke risk in this patient population.

Objective:To predict pre-treatment clinical parameters that are associated with poor response and prognosis to ursodeoxycholic acid (UDCA) in patients with primary biliary cholangitis (PBC) and to use second-line treatment drugs in the early stages to delay the progression of the disease so that patients can benefit from early-stage treatment.Methods:Patients diagnosed with PBC at the Second Affiliated Hospital of Kunming Medical University from 2013 to 2022 were collected. Two hundred fifty-seven cases were screened in accordance with the inclusion and exclusion criteria. The response and prognosis conditions one year after treatment were followed up in outpatient and inpatient departments, as well as through telephone calls. Statistical analyses were performed using t-tests, Mann-Whitney U test, χ2 test, Fisher's exact test, and logistic regression analysis according to different data. Results:A total of 257 PBC cases were included, with 223 females (86.80%) and 34 males (13.20%). Univariate and multivariate binary logistic regression analyses showed that baseline high albumin levels [odds ratio ( OR): 0.882, 95% confidence interval ( CI): 0.805～0.967, P=0.008] were a protective factor for PBC patients' response to UDCA treatment after adjusting for different confounding factors, while baseline high alkaline phosphatase ( OR: 1.012, 95% CI: 1.008～1.016, P<0.001) and baseline high neutrophil/lymphocyte ratio (NLR) level ( OR: 1.462, 95% CI:1.079～1.981, P=0.014) were risk factors for a poor response to UDCA. Trend analysis showed that the baseline NLR quantile was positively correlated with the risk of poor response to UDCA ( OR: 5.512, 95% CI: 1.040～29.216, P=0.045) in patients with PBC. Cox proportional hazards regression analysis identified that age [hazard ratio ( HR): 1.050, 95% CI: 1.019～1.082] and NLR value ( HR:1.089, 95% CI:1.021～1.161) were independent influencing risk factors for all-cause mortality in PBC patients ( P<0.05). Conclusion:Baseline high albumin levels are protective factors against a poor biochemical response to UDCA, while baseline high alkaline phosphatase levels and high NLR are risk factors for a poor biochemical response to UDCA in patients with PBC. Additionally, baseline high NLR values are positively correlated with poor biochemical response to UDCA treatment.

Objective:To evaluate the clinical value of cognitive and motor function in predicting conversion to neurodegenerative disorders in patients with isolated rapid eye movement sleep behavior disorder (iRBD).Methods:Forty-seven patients with iRBD were collected from the Department of Neurology of Tianjin Medical University General Hospital and Tianjin Medical University General Hospital Airport Site during October 2018 and June 2022. All participants received comprehensive evaluations of cognitive and motor function at baseline. The visuospatial function was evaluated by Rey-Osterrieth Complex Figure Test (ROCF)-copy, the memory function was evaluated by Auditory Verbal Learning Test and ROCF-recall, the attention-executive function was evaluated by Trail Making Test (TMT) and Stroop Color-Word Test, and the language function was evaluated by Boston Naming Test. The motor function was evaluated by Unified Parkinson′s Disease Rating Scale-Ⅲ, Alternate-tap Test (ATT), and 3-meter Timed Up and Go Test. The iRBD patients with phenoconversion were identified during follow-up. Receiver operating characteristic curve and generalized linear model Logistic regression were applied to identify the optimal combination of cognitive and motor tests in distinguishing the converters from non-converters in patients with iRBD. Multivariate Cox regression analyses were applied to evaluate the independent risk factors in predicting conversion to neurodegenerative diseases in patients with iRBD.Results:The median follow-up duration was 3 years. Forty-five iRBD patients were included in the analysis eventually, as 2 dropped out at follow-up. Twenty-one iRBD patients developed neurodegenerative disorders, with 14 presenting motor phenotype and 7 cognitive phenotype. Baseline ROCF-copy, TMT-A and ATT were best combination in identifying iRBD patients with phenoconversion [sensitivity: 90.0%, specificity: 87.5%, area under curve (AUC): 0.931, P<0.001]. Baseline TMT-A and ATT were best combination in identifying iRBD patients with motor phenotype conversion (sensitivity: 100.0%, specificity: 66.7%, AUC: 0.872, P<0.001); Baseline TMT-A performed best in identifying iRBD patients with cognitive phenotype conversion (sensitivity: 83.3%, specificity: 91.7%, AUC: 0.917, P<0.001). Multivariate Cox regression analysis showed that individuals with poorer performance of TMT-A (cut-off value: 63.0 s) and ATT (cut-off value: 205.5 taps/min) than the cut-off values at baseline had higher risks for developing to neurodegenerative disorders, with HR values of 5.455 (95% CI 1.243-23.941, P=0.025) and 11.279 (95% CI 1.485-85.646, P=0.019), respectively. Conclusions:In iRBD, ROCF-copy, TMT-A and ATT served as optimum combination in predicting phenoconversion, whereas TMT-A and ATT served as optimum combination in predicting motor phenotype, and TMT-A performed best in predicting cognitive phenotype. The performance in TMT-A and ATT in iRBD could predict the risk of developing to neurodegenerative disorders independently.