PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

(+)-Borneol, the main component of "Natural Borneol" in the Chinese Pharmacopoeia, is a high-end spice and precious medicine. Plant extraction cannot meet the increasing demand for (+)-borneol, while microbial biosynthesis offers a sustainable supply route. However, its production was extremely low compared with other monoterpenes, even with extensively optimizing the mevalonate pathway. We found that the key challenge is the complex and unusual dephosphorylation reaction of bornyl diphosphate (BPP), which suffers the side-reaction and the competition from the cellular dephosphorylation process, especially lipid metabolism, thus limiting (+)-borneol synthesis. Here, we systematically optimized the dephosphorylation process by identifying, characterizing phosphatases, and balancing cellular dephosphorylation metabolism. For the first time, we identified two endogenous phosphatases and seven heterologous phosphatases, which significantly increased (+)-borneol production by up to 152%. By engineering BPP dephosphorylation and optimizing the MVA pathway, the production of (+)-borneol was increased by 33.8-fold, which enabled the production of 753 mg/L under fed-batch fermentation in shake flasks, so far the highest reported in the literature. This study showed that rewiring dephosphorylation metabolism was essential for high-level production of (+)-borneol in Saccharomyces cerevisiae, and balancing cellular dephosphorylation is also helpful for efficient biosynthesis of other terpenoids since all whose biosynthesis involves the dephosphorylation procedure.

Mechanical pain is one of the most common causes of clinical pain, but there remains a lack of effective treatment for debilitating mechanical and chronic forms of neuropathic pain. Recently, neurotoxin GsMTx4, a selective mechanosensitive (MS) channel inhibitor, has been found to be effective, while the underlying mechanism remains elusive. Here, with multiple rodent pain models, we demonstrated that a GsMTx4-based 17-residue peptide, which we call P10581, was able to reduce mechanical hyperalgesia and neuropathic pain. The analgesic effects of P10581 can be as strong as morphine but is not toxic in animal models. The anti-hyperalgesic effect of the peptide was resistant to naloxone (an μ-opioid receptor antagonist) and showed no side effects of morphine, including tolerance, motor impairment, and conditioned place preference. Pharmacological inhibition of TRPV4 by P10581 in a heterogeneous expression system, combined with the use of Trpv4 knockout mice indicates that TRPV4 channels may act as the potential target for the analgesic effect of P10581. Our study identified a potential drug for curing mechanical pain and exposed its mechanism.

Dysregulated RNA splicing is a well-recognized characteristic of colorectal cancer (CRC); however, its intricacies remain obscure, partly due to challenges in profiling full-length transcript variants at the single-cell level. Here, we employ high-depth long-read scRNA-seq to define the full-length transcriptome of colorectal epithelial cells in 12 CRC patients, revealing extensive isoform diversities and splicing alterations. Cancer cells exhibited increased transcript complexity, with widespread 3'-UTR shortening and reduced intron retention. Distinct splicing regulation patterns were observed between intrinsic-consensus molecular subtypes (iCMS), with iCMS3 displaying even higher splicing factor activities and more pronounced 3'-UTR shortening. Furthermore, we revealed substantial shifts in isoform usage that result in alterations of protein sequences from the same gene with distinct carcinogenic effects during tumorigenesis of CRC. Allele-specific expression analysis revealed dominant mutant allele expression in key oncogenes and tumor suppressors. Moreover, mutated PPIG was linked to widespread splicing dysregulation, and functional validation experiments confirmed its critical role in modulating RNA splicing and tumor-associated processes. Our findings highlight the transcriptomic plasticity in CRC and suggest novel candidate targets for splicing-based therapeutic strategies.
Humans ; Colorectal Neoplasms/metabolism* ; RNA Isoforms/metabolism* ; Single-Cell Analysis ; RNA Splicing ; Gene Expression Regulation, Neoplastic ; RNA, Neoplasm/metabolism* ; Transcriptome

Objective To compare the safety and efficacy of direct thrombectomy versus bridging thrombectomy in the treatment of acute anterior circulation large vessel occlusion stroke under different collateral circulation statuses.Methods Totally 93 patients with acute anterior circulation ischemic stroke admitted to the First Affiliated Hospital of Xinxiang Medical University from September 2020 to March 2023 were selected as the research subjects.Patients were divided into direct throm-bectomy group(n=47)and bridging thrombectomy group(n=46)based on the type of thrombectomy.Patients in the direct thrombectomy group received direct intravascular thrombectomy,while patients in the bridging thrombectomy group received intravenous thrombolysis with alteplase combined with mechanical thrombectomy.According computed tomography angiography,the collateral circulation Tan classification was applied to divide the patients into good collateral circulation sub-group and poor collateral circulation sub-group.The modified thrombolysis in cerebral infarction grading(mTICI)was used to evaluate vessel recanalization.Head computed tomography plain scan was performed at 24-48 hours postoperatively to assess if there was hemorrhagic transformation,and modified Rankin Scale score was performed at 90 days postoperatively.Information such as imaging examination time,femoral artery puncture time,vessel recanalization time after thrombectomy,prognosis and spontaneous non-traumatic symptomatic intracerebral hemorrhage(SICH)were collected.Results The age,gender,baseline Alberta stroke program early computed tomography score,baseline national institutes of health stroke scale score,proportions of hypertension,diabetes and atrial fibrillation,baseline systolic pressure,creatinine,baseline blood glucose,platelet count,occlusion site,stroke etiologies and collateral circulation status of patients in the two groups were not statistically significantly different(P＞0.05).There were no significant differences in the post-admission imaging examination time,femoral artery puncture time,vessel recanalization time after thrombectomy,successful vascular reperfusion rate,good prognosis rate,mortality rate,and SICH incidence between the two groups(P＞0.05).The hemorrhagic transformation rate of patients in the direct thrombectomy group was significantly lower than that in the bridging thrombectomy group(P＜0.05).There were no significant differences in the post-admission imaging examination time,femoral artery puncture time,vessel recanalization time after thrombectomy,successful vascular reperfusion rate,good prognosis rate,mortality rate,and SICH incidence between patients with good collateral circulation and patients with poor collateral circulation in the two groups(P＞0.05).The hemorrhagic transformation rate of patients with good and poor collateral circulation in the direct thrombectomy group was significantly lower than that in the bridging thrombectomy group(P＜0.05).Conclusion Under different collateral circulation conditions,the safety and efficacy of direct thrombectomy and bridging thrombectomy in the treatment of acute anterior circulation large vessel occlusion stroke are similar,but bridging thrombectomy is more likely to result in cerebral hemorrhage transformation compared with direct thrombectomy.

Objective To observe the effects of electroacupuncture on intestinal flora and serum inflammatory factors in rabbit model with rheumatoid arthritis(RA);To explore the mechanism of its therapeutic effect on RA.Methods RA model rabbits were established by ovalbumin induction combined with Freund's complete adjuvant,and the rabbits after successful modeling were randomly divided into model group,probiotic group and electroacupuncture group,with 6 rabbits in each group.Another 6 rabbits were set as the normal group.The electroacupuncture group received electroacupuncture at the bilateral"Zusanli"and"Dubi"for 30 minutes,the probiotic group was given probiotic capsules solution(14.5 mg/kg)by gavage,once a day,for two consecutive weeks.The knee joint circumference and pain threshold of rabbits were measured,histopathological morphological changes of colonic tissue and synovial tissue ws observed by HE staining,16S rDNA sequencing was used to analyze structural changes of intestinal flora,the contents of TNF-α,IL-1β and IL-6 in serum were detected by ELISA.Results Compared with the normal group,the circumference of knee joint of rabbits in the model group increased significantly,the pain threshold was significantly decreased(P<0.01);the colonic mucosal damage was serious,the goblet cells were missing,a large number of inflammatory cells were infiltrate;the joint capsule synovial surface was rough,the synovial cell layer was hyperplasia and thickening,the synovial tissue inflammatory cell infiltration was obvious;the number and evenness of gut microbiota species decreased,while the relative abundance of Proteobacteria,Firmicutes,and Bacteroidetes decreased(P<0.05,P<0.01),the relative abundance of Desulfobacteria increased(P<0.01),while the relative abundance of Campylobacter,Lawsonella,and Pseudomonas increased(P<0.01),while the relative abundance of Heshanomonas and Herbaspirillum decreased(P<0.01);the contents of serum TNF-α,IL-1β and IL-6 increased(P<0.01).Compared with the model group,the knee joint circumference of the probiotic group and the electroacupuncture group decreased,the pain threshold increased(P<0.01,P<0.05);the degree of intestinal mucosal damage was reduced,the goblet cells were basically arranged neatly,the inflammatory cell infiltration was reduced;synovial cells proliferation and thickening decreased,with a small amount of inflammatory cell infiltration;the number and evenness of gut microbiota species increased,while the relative abundance of Proteobacteria,Firmicutes,and Bacteroidetes increased(P<0.05,P<0.01),the relative abundance of Desulfobacteria decreased(P<0.01),while the relative abundance of Campylobacter,Lawsonella and Pseudomonas decreased(P<0.01),the relative abundance of Heshanomonas and Herbaspirillum increased(P<0.05,P<0.01);the contents of serum TNF-α,IL-1β and IL-6 significantly decreased(P<0.01).Conclusion Electroacupuncture can significantly improve the symptoms of RA rabbits and reduce the inflammatory reaction in synovial tissue of joint,and the mechanism may be related to the regulation of intestinal flora structure.

AIM To analyze the component composition of Xeriga-4 Powder,and to determine the contents of phellodendrine,chlorogenic acid,gardenoside,berberine,rutin and curcumin.METHODS The high performance liquid chromatography-Q-exactive orbitrap mass spectrometry(HPLC-Q-Exactive-MS)qualitative analysis was performed on a 35℃thermostatic Agilent ZORBAX SB-Aq column(4.6 mm×150 mm,5 μm),with the mobile phase comprising of methanol-0.1%formic acid flowing at 0.35 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning.High performance liquid chromatography tandem mass spectrometry(HPLC-MS/MS)quantitative analysis was performed on a 35℃thermostatic Shim-pack GIST-HP C18 column(2.1 mm×100 mm,3 μm),with the mobile phase comprising of methanol-0.1%formic acid flowing at 0.25 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning with multiple reaction monitoring mode.RESULTS Total 65 constituents were identified,containing 19 alkaloids,13 organic acids,13 flavonoids,7 curcumins,6 iridoids,4 fatty acids,2 aldehydes,and 1 amino acid.Six constituents showed good linear relationships within their own ranges(r≥0.999 1),whose average recoveries were 96.44%-102.37%with the RSDs of 2.05%-3.74%.CONCLUSION This study can provide a reference for the quality control for Xieriga-4 Powder.

Purpose::In patients with heatstroke, disseminated intravascular coagulation (DIC) is associated with greater risk of in-hospital mortality. However, time-consuming assays or a complex diagnostic system may delay immediate treatment. Therefore, the present study proposes a new heatstroke-induced coagulopathy (HIC) score in patients with heat illness as an early warning indicator for DIC.Methods::This retrospective study enrolled patients with heat illness in 24 Chinese hospitals from March 2021 to May 2022. Patients under 18 years old, with a congenital clotting disorder or liver disease, or using anticoagulants were excluded. Data were collected on demographic characteristics, routine blood tests, conventional coagulation assays and biochemical indexes. The risk factors related to coagulation function in heatstroke were identified by regression analysis, and used to construct a scoring system for HIC. The data of patients who met the diagnostic criteria for HIC and International Society on Thrombosis and Haemostasis defined-DIC were analyzed. All statistical analyses were performed using SPSS 26.0.Results::The final analysis included 302 patients with heat illness, of whom 131 (43.4%) suffered from heatstroke, including 7 death (5.3%). Core temperature ( OR = 1.681, 95% CI 1.291 - 2.189, p < 0.001), prothrombin time ( OR = 1.427, 95% CI 1.175 - 1.733, p < 0.001) and D-dimer ( OR = 1.242, 95% CI 1.049 - 1.471, p = 0.012) were independent risk factors for heatstroke, and therefore used to construct an HIC scoring system because of their close relation with abnormal coagulation. A total score ≥ 3 indicated HIC, and HIC scores correlated with the score for International Society of Thrombosis and Hemostasis-DIC ( r = 0.8848, p < 0.001). The incidence of HIC (27.5%) was higher than that of DIC (11.2%) in all of 131 heatstroke patients. Meanwhile, the mortality rate of HIC (19.4%) was lower than that of DIC (46.7%). When HIC developed into DIC, parameters of coagulation dysfunction changed significantly: platelet count decreased, D-dimer level rose, and prothrombin time and activated partial thromboplastin time prolonged ( p < 0.05). Conclusions::The newly proposed HIC score may provide a valuable tool for early detection of HIC and prompt initiation of treatment.

Human viral respiratory disease is a kind of widely prevalent infectious disease. The incidence rate of respiratory virus infection occupies a major position in the overall structure of global incidence rate of residents, and is one of the main causes of acute and fatal human diseases. Natural products have diverse structures and novel mechanisms of action, which can regulate body immunity and resist respiratory viruses, and have unique advantages in the treatment of respiratory viral diseases. This article summarizes the current research progress of natural drugs in the prevention and treatment of respiratory viruses, classifies the action mechanism of the active components of natural drugs against respiratory viruses, to provide reference basis for clinical treatment and drug discovery of respiratory diseases in the future.

Background: Genetic defects in the human thyroid-stimulating hormone (TSH) receptor (TSHR) gene can cause congenital hypothyroidism (CH). However, the biological functions and comprehensive genotype–phenotype relationships for most TSHR variants associated with CH remain unexplored. We aimed to identify TSHR variants in Chinese patients with CH, analyze the functions of the variants, and explore the relationships between TSHR genotypes and clinical phenotypes. Methods: In total, 367 patients with CH were recruited for TSHR variant screening using whole-exome sequencing. The effects of the variants were evaluated by in-silico programs such as SIFT and polyphen2. Furthermore, these variants were transfected into 293T cells to detect their Gs/cyclic AMP and Gq/11 signaling activity. Results: Among the 367 patients with CH, 17 TSHR variants, including three novel variants, were identified in 45 patients, and 18 patients carried biallelic TSHR variants. In vitro experiments showed that 10 variants were associated with Gs/cyclic AMP and Gq/11 signaling pathway impairment to varying degrees. Patients with TSHR biallelic variants had lower serum TSH levels and higher free triiodothyronine and thyroxine levels at diagnosis than those with DUOX2 biallelic variants. Conclusions We found a high frequency of TSHR variants in Chinese patients with CH (12.3%), and 4.9% of cases were caused by TSHR biallelic variants. Ten variants were identified as loss-of-function variants. The data suggest that the clinical phenotype of CH patients caused by TSHR biallelic variants is relatively mild. Our study expands the TSHR variant spectrum and provides further evidence for the elucidation of the genetic etiology of CH.